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Glama

Zoom

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

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context: it returns top-N most relevant tools with full schemas and curated examples, and results are 'ready to call directly.' This explains the non-destructive, idempotent, and read-only nature, and adds detail about the output format.

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

Conciseness5/5

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

The description is efficient and front-loaded with the core purpose: 'Find tools by describing the data or task.' Each subsequent sentence adds meaningful detail without redundancy. It is appropriately sized for the tool's simplicity.

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

Completeness4/5

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

Given the tool's role as a dispatcher with 6 parameters and no output schema, the description covers its purpose, input format, return content (names, descriptions, schemas, examples), and when to use it. It could mention how relevance is determined, but that is not critical. The description is sufficiently complete for an AI agent to use the tool correctly.

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 description coverage is 100%, so parameters are already well-documented. The description adds minimal additional semantics beyond stating the tool accepts a natural language query and listing domains. It also clarifies the 'limit' parameter by stating it returns 'top-N most relevant tools.' This justifies a baseline 3.

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 'Find tools by describing the data or task,' which is a specific verb and resource. It enumerates many domains and distinguishes this tool from its siblings (which are specific data/task tools) by positioning it as a discovery meta-tool. This makes the tool's purpose unmistakable.

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

Usage Guidelines4/5

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

The description explicitly says 'Call this FIRST when you have many tools available and want to see the option set (not just one answer).' This gives clear when-to-use guidance. It does not explicitly state when not to use, but the context strongly implies it's for exploration rather than direct querying.

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

A3.5/5.0
Disambiguation2/5

The set mixes two entirely different domains: 4 Zoom tools and 31 Pipeworx/prediction-market tools. Within the Pipeworx side, ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, discover_tools, and suggest_questions overlap heavily, as do the five polymarket_* tools. An agent could easily select the wrong variant despite the long descriptions.

Naming Consistency2/5

The Zoom tools follow a clean zoom_* pattern, and there are subfamilies like ask_pipeworx_* and polymarket_*, but the overall set is a mix of snake_case verbs, bare nouns, and inconsistent styles (bet_research, entity_profile, generate_llms_txt, list_subscriptions, pipeworx_feedback, validate_claim). No single predictable convention governs the server's tool names.

Tool Count2/5

35 tools is heavy for any server, and the vast majority are unrelated to the server's declared 'Zoom' purpose. Only 4 of 35 tools actually concern Zoom, making the count both bloated and mismatched. A focused Zoom server would need far fewer tools; a Pipeworx data server would need a different name.

Completeness2/5

For a Zoom server, the surface is critically incomplete: only read-only list/get operations exist for meetings, recordings, and the current user, with no create, update, delete, or invite functionality. The Pipeworx side is comparatively rich and complete, but that does not serve the Zoom domain implied by the server name, so significant gaps remain for the apparent purpose.

Resources