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* MCP Tool: get_all_generated_stats
*
* Returns precomputed European Parliament activity statistics covering
* parliamentary terms EP6–EP10 (2004–2025), including monthly activity
* breakdowns, category rankings with percentiles, analytical commentary,
* and trend-based predictions for 2026–2030.
*
* The underlying data is static and designed to be refreshed weekly by
* an agentic workflow. No live EP API calls are made by this tool.
*
* **Intelligence Perspective:** Enables rapid longitudinal analysis of
* EP legislative productivity, committee workload, and parliamentary
* engagement metrics across two decades—supporting trend identification,
* term-over-term comparisons, and predictive modelling.
*
* **Business Perspective:** Provides pre-built analytics for policy
* consultancies, think-tanks, and academic researchers who need
* ready-made historical benchmarks without incurring API latency.
*
* **Marketing Perspective:** Showcases the depth of the MCP server's
* analytical capabilities with rich, pre-formatted intelligence products.
*
* ISMS Policy: SC-002 (Input Validation), AC-003 (Least Privilege)
* Data source: European Parliament Open Data Portal — data.europarl.europa.eu
*
* @module tools/getAllGeneratedStats
*/
import { z } from 'zod';
import { GENERATED_STATS } from '../data/generatedStats.js';
import { buildToolResponse, buildErrorResponse } from './shared/responseBuilder.js';
import type { ToolResult } from './shared/types.js';
export const GetAllGeneratedStatsSchema = z
.object({
yearFrom: z
.number()
.int()
.min(2004)
.max(2030)
.optional()
.describe('Start year for filtering (default: earliest available, 2004)'),
yearTo: z
.number()
.int()
.min(2004)
.max(2030)
.optional()
.describe('End year for filtering (default: latest available, 2025)'),
category: z
.enum([
'all',
'plenary_sessions',
'legislative_acts',
'roll_call_votes',
'committee_meetings',
'parliamentary_questions',
'resolutions',
'speeches',
'adopted_texts',
'political_groups',
'procedures',
'events',
'documents',
'mep_turnover',
'declarations',
])
.optional()
.default('all')
.describe('Activity category to focus on (default: all)'),
includePredictions: z
.boolean()
.optional()
.default(true)
.describe('Include trend-based predictions for 2026-2030 (default: true)'),
includeMonthlyBreakdown: z
.boolean()
.optional()
.default(false)
.describe('Include month-by-month activity data (default: false for compact output)'),
includeRankings: z
.boolean()
.optional()
.default(true)
.describe('Include percentile rankings and statistical analysis (default: true)'),
})
.refine(
(data) =>
data.yearFrom === undefined ||
data.yearTo === undefined ||
data.yearFrom <= data.yearTo,
{
message: 'yearFrom must be less than or equal to yearTo',
path: ['yearFrom'],
},
);
export type GetAllGeneratedStatsParams = z.infer<typeof GetAllGeneratedStatsSchema>;
const CATEGORY_LABEL_MAP: Partial<Record<string, string>> = {
plenary_sessions: 'Plenary Sessions',
legislative_acts: 'Legislative Acts Adopted',
roll_call_votes: 'Roll-Call Votes',
committee_meetings: 'Committee Meetings',
parliamentary_questions: 'Parliamentary Questions',
resolutions: 'Resolutions',
speeches: 'Speeches',
adopted_texts: 'Adopted Texts',
procedures: 'Procedures',
events: 'Events',
documents: 'Documents',
mep_turnover: 'MEP Turnover',
declarations: 'Declarations',
// political_groups intentionally omitted — it has no numeric ranking
};
type RankingEntry = typeof GENERATED_STATS.categoryRankings[number];
/**
* Compute mean, standard deviation, and median from a numeric array.
* Used to recalculate ranking summary statistics for filtered year ranges.
*/
function computeStats(values: number[]): { mean: number; stdDev: number; median: number } {
const n = values.length;
const mean = values.reduce((s, v) => s + v, 0) / n;
const variance =
n > 1 ? values.reduce((s, v) => s + (v - mean) ** 2, 0) / n : 0;
const stdDev = Math.round(Math.sqrt(variance) * 100) / 100;
const sorted = [...values].sort((a, b) => a - b);
const mid = Math.floor(sorted.length / 2);
const median =
sorted.length % 2 === 0
? ((sorted[mid - 1] ?? 0) + (sorted[mid] ?? 0)) / 2
: sorted[mid] ?? 0;
return { mean: Math.round(mean * 100) / 100, stdDev, median };
}
/**
* Recompute ranking summary fields (mean, stdDev, median, topYear, bottomYear)
* for a filtered year range. Re-sorts and re-ranks entries with fresh percentiles.
*/
function recomputeRankingSummary(
r: RankingEntry,
yearFrom: number,
yearTo: number,
): RankingEntry {
const filtered = r.rankings.filter(
(ry) => ry.year >= yearFrom && ry.year <= yearTo,
);
Iif (filtered.length === 0) {
return { ...r, rankings: [], mean: 0, stdDev: 0, median: 0, topYear: 0, bottomYear: 0 };
}
const values = filtered.map((e) => e.totalActivityScore);
const n = values.length;
const stats = computeStats(values);
const reSorted = [...filtered].sort(
(a, b) => b.totalActivityScore - a.totalActivityScore,
);
const reRanked = reSorted.map((entry, idx) => ({
...entry,
rank: idx + 1,
percentile:
n === 1
? 100
: Math.round(((n - idx - 1) / (n - 1)) * 10000) / 100,
}));
return {
...r,
rankings: reRanked,
...stats,
topYear: reSorted[0]?.year ?? 0,
bottomYear: reSorted[n - 1]?.year ?? 0,
};
}
/**
* Filter category rankings by the requested year range and optional category.
* Returns recomputed summary statistics for the filtered subset.
* `political_groups` has no numeric ranking and returns an empty array.
*/
function filterRankings(
params: GetAllGeneratedStatsParams,
yearFrom: number,
yearTo: number
): typeof GENERATED_STATS.categoryRankings {
if (!params.includeRankings) return [];
const recompute = (r: RankingEntry): RankingEntry =>
recomputeRankingSummary(r, yearFrom, yearTo);
if (params.category === 'all') {
return GENERATED_STATS.categoryRankings.map(recompute);
}
// political_groups has no numeric ranking category
if (params.category === 'political_groups') return [];
const label = CATEGORY_LABEL_MAP[params.category];
Iif (label === undefined) return [];
return GENERATED_STATS.categoryRankings
.filter((r) => r.category === label)
.map(recompute);
}
/**
* Retrieve precomputed EP activity statistics with optional year/category filtering.
*
* The response always includes `coveragePeriod` (the full dataset range, 2004–2025)
* and `requestedPeriod` (the user-supplied year filter). The `analysisSummary` covers
* the full dataset with a `coverageNote` clarifying scope when filters narrow the range.
*/
export function getAllGeneratedStats(
params: GetAllGeneratedStatsParams
): ToolResult {
try {
const yearFrom = params.yearFrom ?? GENERATED_STATS.coveragePeriod.from;
const yearTo = params.yearTo ?? GENERATED_STATS.coveragePeriod.to;
// Filter yearly stats by requested year range
const filteredYearly = GENERATED_STATS.yearlyStats
.filter((y) => y.year >= yearFrom && y.year <= yearTo)
.map((y) => {
if (params.includeMonthlyBreakdown) return y;
// Omit monthly breakdown for compact output
const { monthlyActivity: _monthly, ...rest } = y;
void _monthly;
return rest;
});
// Filter rankings by category if specified
const filteredRankings = filterRankings(params, yearFrom, yearTo);
// Include predictions only if requested, filtered to the requested year range
const filteredPredictions =
params.includePredictions
? GENERATED_STATS.predictions.filter((p) => p.year >= yearFrom && p.year <= yearTo)
: [];
const result = {
generatedAt: GENERATED_STATS.generatedAt,
coveragePeriod: GENERATED_STATS.coveragePeriod,
requestedPeriod: { from: yearFrom, to: yearTo },
methodologyVersion: GENERATED_STATS.methodologyVersion,
dataSource: GENERATED_STATS.dataSource,
totalYearsReturned: filteredYearly.length,
yearlyStats: filteredYearly,
...(filteredRankings.length > 0 && {
categoryRankings: filteredRankings,
}),
...(filteredPredictions.length > 0 && {
predictions: filteredPredictions,
}),
analysisSummary: {
...GENERATED_STATS.analysisSummary,
coverageNote:
yearFrom > GENERATED_STATS.coveragePeriod.from ||
yearTo < GENERATED_STATS.coveragePeriod.to
? `This summary reflects the full ${String(GENERATED_STATS.coveragePeriod.from)}-${String(GENERATED_STATS.coveragePeriod.to)} dataset; filtered results cover ${String(yearFrom)}-${String(yearTo)} only.`
: `Covers the complete ${String(GENERATED_STATS.coveragePeriod.from)}-${String(GENERATED_STATS.coveragePeriod.to)} dataset.`,
},
confidenceLevel: 'HIGH' as const,
methodology:
'Precomputed statistics from European Parliament Open Data Portal. ' +
'Rankings use ordinal ranking with percentile scores. ' +
'Predictions use average-based extrapolation from 2021-2025 with parliamentary term cycle adjustments. ' +
'Data refreshed weekly by agentic workflow.',
sourceAttribution:
'European Parliament Open Data Portal — data.europarl.europa.eu',
};
return buildToolResponse(result);
} catch (error) {
return buildErrorResponse(
error instanceof Error ? error : new Error(String(error)),
'get_all_generated_stats'
);
}
}
export const getAllGeneratedStatsToolMetadata = {
name: 'get_all_generated_stats',
description:
'Retrieve precomputed European Parliament activity statistics (2004-2025) with monthly breakdowns, ' +
'category rankings, percentile scores, statistical analysis, political landscape history (group composition, ' +
'fragmentation index, coalition dynamics), analytical commentary, and trend-based predictions for 2026-2030. ' +
'Data covers parliamentary terms EP6-EP10 including plenary sessions, legislative acts, roll-call votes, ' +
'committee meetings, parliamentary questions, resolutions, speeches, adopted texts, procedures, events, ' +
'documents, MEP turnover, and declarations. ' +
'Static data refreshed weekly by agentic workflow — no live API calls.',
inputSchema: {
type: 'object' as const,
properties: {
yearFrom: {
type: 'number',
description: 'Start year for filtering (default: 2004)',
minimum: 2004,
maximum: 2030,
},
yearTo: {
type: 'number',
description: 'End year for filtering (default: 2025)',
minimum: 2004,
maximum: 2030,
},
category: {
type: 'string',
enum: [
'all',
'plenary_sessions',
'legislative_acts',
'roll_call_votes',
'committee_meetings',
'parliamentary_questions',
'resolutions',
'speeches',
'adopted_texts',
'political_groups',
'procedures',
'events',
'documents',
'mep_turnover',
'declarations',
],
description: 'Activity category to focus on (default: all)',
default: 'all',
},
includePredictions: {
type: 'boolean',
description: 'Include trend-based predictions for 2026-2030 (default: true)',
default: true,
},
includeMonthlyBreakdown: {
type: 'boolean',
description: 'Include month-by-month activity data (default: false)',
default: false,
},
includeRankings: {
type: 'boolean',
description: 'Include percentile rankings and statistics (default: true)',
default: true,
},
},
},
};
export async function handleGetAllGeneratedStats(
args: unknown
): Promise<ToolResult> {
const params = GetAllGeneratedStatsSchema.parse(args);
return Promise.resolve(getAllGeneratedStats(params));
}
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