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Glama

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. Changed5 schema fields changed
    • addedInput schema / properties / description
      Added value: +{
      +  "description": "Alias for query.",
      +  "type": "string"
      +}
    • addedInput schema / properties / q
      Added value: +{
      +  "description": "Alias for query.",
      +  "type": "string"
      +}
    • changedInput schema / properties / query / description
      Previous value: -"Natural language description of what you want to do (e.g., \"analyze housing market trends\", \"look up FDA drug approvals\", \"find trade data between countries\")"New value: +"Natural 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."
    • addedInput schema / properties / search
      Added value: +{
      +  "description": "Alias for query.",
      +  "type": "string"
      +}
    • addedInput schema / properties / task
      Added value: +{
      +  "description": "Alias for query.",
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "query": "look up FDA drug approvals"
      +  },
      +  {
      +    "query": "analyze housing market trends"
      +  }
      +]
  3. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive. The description adds valuable behavioral context: returns top-N tools with full input schemas and curated examples, ready to call directly without a second lookup. This goes beyond mere annotation restatement.

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?

The description is front-loaded with the core purpose in the first sentence and earns its place overall. The long list of example domains is somewhat verbose but helps the agent understand scope. It remains concise at three sentences.

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?

Given the simple tool (one required query parameter, no output schema), the description is complete: it explains the return format (top-N tools with descriptions and schemas) and the 'ready to call' aspect. No critical missing context.

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

Parameters3/5

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

Schema coverage is 100%, with each parameter (including aliases) fully documented. The description adds little beyond the schema for parameters, only reinforcing that the query is a natural language description of the task. Baseline 3 is appropriate.

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 specifies the resource ('tools') and distinguishes itself from siblings by emphasizing discovery across many domains and returning an 'option set' rather than a single answer.

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?

Explicit usage guidance is provided: 'Use when you need to browse, search, look up, or discover what tools exist' and 'Call this FIRST when you have many tools available.' This clearly tells the agent when to invoke this tool versus other search or data tools.

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

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TDQS

B3.3/5.0
Disambiguation1/5

The server contains 4 joke-related tools and 31 tools from the Pipeworx data ecosystem, which are entirely unrelated. An agent cannot easily distinguish whether to use a joke tool or a data tool, causing extreme ambiguity.

Naming Consistency2/5

Tool names within the joke subset (e.g., get_joke, search_jokes) and Pipeworx subset (e.g., ask_pipeworx, entity_profile) are individually consistent, but the overall set has no unified naming pattern or domain signal, making the server's purpose unclear.

Tool Count1/5

With 35 tools, the count is excessive for a jokes-themed server. Only 4 tools are joke-related; the remaining 31 belong to a completely different domain, making the tool count highly inappropriate.

Completeness1/5

The joke coverage (get, search, categories, flags) is minimal but functional. However, the server as a whole is a Frankenstein of unrelated domains, lacking a coherent surface. The overwhelming majority of tools are irrelevant to the server name.