Health Canada Drug Product Database (fleet #522).
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Scored across 39 tools
Many tools have overlapping purposes: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-identical routers, and polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, and polymarket_kalshi_spread all target prediction-market signals. Company lookup is split across company_facts, entity_profile, compare_entities, recent_changes, and resolve_entity, making selection error-prone.
Names mix domain-prefix + noun (health_canada_drug_detail, polymarket_arbitrage), verb + noun (scan_dependency, resolve_entity), and bare verbs (remember, recall). While all are lowercase snake_case)Skip consistency, there is no dominant pattern: 'ask_pipeworx', 'polymarket_*', and 'resolution_*' are separate clusters, and reserved words like 'forget' and 'subscribe' don't convey domain context. Still readable, but not uniform.
With 39 tools, the count heavily exceeds the typical 3-15 well-scoped range, and the server is titled 'Health Canada Drugs' yet only three tools relate to that domain. The rest are a grab-bag of Pipeworx data, prediction-market, and memory utilities, so the count does not match the apparent purpose.
For a Health Canada Drugs server, the surface is severely incomplete: only search, detail, and by-ingredient lookup exist, with no adverse-event, labeling, or shortage tools. For the broader data platform, the set is a hodgepodge with overlapping coverage but also gaps (e.g., no direct FAERS adverse-event tool, no US drug label tool, no market resolution follow-up). The domain is unclear, so coverage cannot be considered complete for any single purpose.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
ai_visibility_check1 field changedInput schema / examplesAdded value: +[
+ {
+ "entity": "Tesla"
+ }
+]ask_pipeworx3 fields changedInput schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."ask_pipeworx_beta4 fields changedInput schema / examplesAdded value: +[
+ {
+ "question": "What is the current US unemployment rate?"
+ }
+]Input schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."ask_pipeworx_grounded4 fields changedInput schema / examplesAdded value: +[
+ {
+ "question": "What was Apple's fiscal 2023 revenue?"
+ }
+]Input schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"Your question in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."company_facts5 fields changedInput schema / examplesAdded value: +[
+ {
+ "attribute": "revenue",
+ "company": "AAPL",
+ "period": {
+ "fiscal_year": 2023,
+ "type": "annual"
+ }
+ }
+]Input schema / properties / as_ofAdded value: +{
+ "description": "Past ISO timestamp with timezone. Replay the latest answer actually recorded by that instant; no invented history or live fallback.",
+ "type": "string"
+}Input schema / properties / exclude_publishersAdded value: +{
+ "description": "Publisher ids forbidden for fact retrieval: sec, fmp, alphavantage. Case and surrounding whitespace are normalized; unknown ids are refused. Excluding sec currently leaves no eligible fact source and returns unavailable/sources_excluded with the selection reasons. Identity and fiscal-calendar lookups may still use SEC; no excluded financial concept is fetched.",
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+}Input schema / properties / freshnessAdded value: +{
+ "description": "cached (default) permits an eligible stored answer; fresh requires an upstream refresh and never silently falls back to stale data.",
+ "enum": [
+ "cached",
+ "fresh"
+ ],
+ "type": "string"
+}Input schema / properties / max_ageAdded value: +{
+ "description": "Maximum age in seconds of the upstream publication, not our fetch. Older or undated facts are withheld.",
+ "maximum": 3155760000,
+ "minimum": 0,
+ "type": "number"
+}compare_entities1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "values": [
+ "AAPL",
+ "MSFT"
+ ]
+ }
+]deep_research1 field changedInput schema / examplesAdded value: +[
+ {
+ "depth": "quick",
+ "question": "What is the current US unemployment rate and how has it changed over the past year?"
+ }
+]entity_profile1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]generate_llms_txt1 field changedInput schema / examplesAdded value: +[
+ {
+ "url": "https://pipeworx.io"
+ }
+]pipeworx_feedback1 field changedInput schema / examplesAdded value: +[
+ {
+ "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
+ "type": "other"
+ }
+]pipeworx_trending1 field changedInput schema / examplesAdded value: +[
+ {
+ "window": "7d"
+ }
+]polymarket_arbitrage1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "Fed rate decision"
+ }
+]polymarket_edge_tracker1 field changedInput schema / examplesAdded value: +[
+ {
+ "days": 14,
+ "window": "1wk"
+ }
+]polymarket_edges3 fields changedInput schema / examplesAdded value: +[
+ {
+ "limit": 5,
+ "window": "1wk"
+ }
+]Input schema / properties / min_edge_pp / descriptionPrevious value: -"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage."New value: +"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage and Polymarket's own taker fee."Input schema / properties / slippage_pp / descriptionPrevious value: -"Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model."New value: +"Assumed execution slippage in percentage points per leg (default 0.3), for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kelly sizing, ON TOP OF Polymarket's own taker fee — which is NOT zero (rate 0.04-0.07 depending on category, read off each market's own published fee schedule; see fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fill model — the fee still applies regardless."polymarket_fill_risk1 field changedInput schema / examplesAdded value: +[
+ {
+ "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636",
+ "side": "buy_yes",
+ "size_usd": 1000
+ }
+]recent_changes1 field changedInput schema / examplesAdded value: +[
+ {
+ "since": "30d",
+ "type": "company",
+ "value": "AAPL"
+ }
+]remember1 field changedInput schema / examplesAdded value: +[
+ {
+ "key": "target_ticker",
+ "value": "AAPL"
+ }
+]resolve_entity1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]scan_competitor_ai_presence1 field changedInput schema / examplesAdded value: +[
+ {
+ "entities": [
+ "Pipeworx",
+ "Zapier"
+ ]
+ }
+]scan_dependency1 field changedInput schema / examplesAdded value: +[
+ {
+ "package": "left-pad"
+ }
+]search_within1 field changedInput schema / examplesAdded value: +[
+ {
+ "query": "supply-chain risk",
+ "text": "Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter."
+ }
+]suggest_questions1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "finance"
+ }
+]validate_claim1 field changedInput schema / examplesAdded value: +[
+ {
+ "claim": "Apple's fiscal 2023 revenue was $383 billion"
+ }
+]ai_visibility_checkask_pipeworxask_pipeworx_betaask_pipeworx_groundedbet_researchcompany_factscompare_entitiesdeep_researchdiscover_toolsentity_profileforgetgenerate_llms_txthealth_canada_drug_detailhealth_canada_drugs_by_ingredienthealth_canada_search_drugskalshi_weather_edgelist_subscriptionspipeworx_feedbackpipeworx_trendingpolymarket_arbitragepolymarket_edge_trackerpolymarket_edgespolymarket_fill_riskpolymarket_kalshi_spreadrecallrecent_alertsrecent_changesrelease_calendar_marketsrememberresolution_auditresolution_diffresolve_entityscan_competitor_ai_presencescan_dependencysearch_withinsubscribesuggest_questionsunsubscribevalidate_claimEMA Article 57 product data — every medicine with a valid marketing
DailyMed MCP — FDA Structured Product Labels via NLM
SFDA Drugs — Saudi Food and Drug Authority drug data
Swissmedic authorised human medicines — the 'Zugelassene Arzneimittel
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