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Launch Library 2 MCP — global rocket launch data

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-launch-library
GitHub Stars
0
Server Listing
Launch Library

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Changeddeep_research1 field changed
      • changedInput schema / properties / depth / description
        Previous value: -"How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."New value: +"How many facets to research in parallel: quick=3 (single hop), standard=3 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=6 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."

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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, from general query routing (ask_pipeworx) to grounded fact-checking (validate_claim), company profiling (entity_profile), prediction market analysis (multiple polymarket_* tools), and utility functions (remember/forget). The descriptions are detailed enough that an agent can reliably select the correct tool without confusion.

Naming Consistency4/5

While there are several consistent sub-patterns (ask_pipeworx*, polymarket_*, entity_*), the overall naming mixes styles: some use verb_noun (resolve_entity), some noun_verb (entity_profile), some are imperative (remember), and others include the platform name (pipeworx_feedback). This is mostly consistent with minor deviations.

Tool Count5/5

31 tools is appropriate for a broad data platform covering company financials, drugs, economics, prediction markets, and more. Each tool earns its place, and the number is well-scoped—neither too many nor too few for the ambitious domain coverage.

Completeness5/5

The set covers a comprehensive range of operations: query, comparison, profiling, change tracking, memory management, subscriptions, discovery, and specialized analyses (prediction market arbitrage, claim validation). There are no obvious gaps; the surface is complete for the stated multi-domain purpose.