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Glama

Wikiquote

by io.github.pipeworx-io

Discover Tools

discover_tools
Read-onlyIdempotent

Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for query.
taskNoAlias for query.
limitNoMaximum number of tools to return (default 20, max 50)
queryYesNatural language description of what you want to do (e.g., "analyze housing market trends", "look up FDA drug approvals", "find trade data between countries"). Accepts task, q, description, search as aliases.
searchNoAlias for query.
descriptionNoAlias for query.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds that each result is ready to call directly with full schemas and curated examples, which is consistent and adds value beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose then usage guidance. Could be more structured but is efficient and clear.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description explains what the output contains (tools with names, descriptions, schemas, examples). It covers the complexity of discovery and provides context for the limit parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (baseline 3). The description adds context: query is a natural language description, and provides examples. It also notes aliases, which are already in schema, but the extra context justifies a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Find tools by describing the data or task.' It lists specific domains (SEC filings, financials, etc.) and explains it returns top-N relevant tools with full schemas, distinguishing it from siblings like 'search'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Call this FIRST when you have many tools available and want to see the option set (not just one answer).' This provides clear when-to-use guidance and implies when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Wikiquote toolsInspect
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TDQS

B3/5.0
Disambiguation2/5

The tool set mixes four Wikiquote tools with 31 unrelated Pipeworx/Polymarket tools, creating a confusing dual identity. Within the research tooling, ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-synonyms, and polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk overlap heavily, making selection ambiguous.

Naming Consistency3/5

All names are snake_case, but patterns vary: some are verb-first (ask_pipeworx, compare_entities, resolve_entity), some noun-first (entity_profile, polymarket_arbitrage, quote_of_the_day), and several are bare verbs or nouns (search, summary, remember, quotes). Prefix groups like ask_pipeworx* and polymarket_* are consistent, but the overall convention is mixed.

Tool Count2/5

35 tools is excessive for a server named Wikiquote, as only 4 tools (quote_of_the_day, quotes, search, summary) actually serve that domain. The remaining 31 form an unrelated general research and prediction-market toolkit, making the set feel bloated and off-scope for its stated name.

Completeness1/5

As a Wikiquote server, the surface is severely incomplete: there is no random quote, page listing, author/topic browsing, or any write/update operations, and the few quotation tools are buried among unrelated functionality. The unrelated research tools may be internally rich, but they do not address the server's stated purpose.

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