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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. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds meaningful context about the return format: 'Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly.' It does not disclose potential rate limits or edge cases, but the added detail goes beyond baseline.

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 four sentences, front-loaded with the core purpose. The list of domains is lengthy but relevant, and every sentence contributes useful information without fluff. It could be slightly tightened but is not excessive.

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?

Despite lacking an output schema, the description explains return value and readiness. It covers the tool's role as a discovery mechanism, including the types of domains and the 'Call this FIRST' guidance. This is sufficient for an agent to select and invoke the tool effectively.

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%, with all parameters including 'query', 'q', 'task', 'limit', etc., having descriptions. The description does not add extra parameter-level meaning beyond the schema, but the schema itself is comprehensive, so a baseline of 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 that the tool 'Find[s] tools by describing the data or task,' which is a specific verb + resource. It distinguishes itself from siblings by positioning as a meta-tool to discover other tools, especially with the directive 'Call this FIRST when you have many tools available.'

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?

The description explicitly states when to use: 'Use when you need to browse, search, look up, or discover what tools exist for...' and 'Call this FIRST when you have many tools available and want to see the option set.' It also implies when not to use by saying 'not just one answer,' giving clear contextual guidance.

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

A3.6/5.0
Disambiguation2/5

The tool set contains multiple overlapping tools for data querying (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, suggest_questions) and prediction market analysis (bet_research, polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread), making it difficult for an agent to distinguish which tool to use. The GIS-specific tools are few and could be confused with general data tools.

Naming Consistency2/5

Tool names follow no consistent pattern: some use verb_noun or noun_verb (ask_pipeworx, compare_entities, search_datasets), while others are longer phrases (generate_llms_txt, scan_competitor_ai_presence, polymarket_kalshi_spread). Mixed conventions and lack of uniformity reduce predictability.

Tool Count2/5

With 34 tools, the count is high for a server ostensibly focused on ArcGIS Pflugerville. Many tools are unrelated to GIS (e.g., prediction market tools, general Pipeworx utilities), making the tool surface feel bloated and poorly scoped.

Completeness2/5

For an ArcGIS server, the coverage is minimal: only three tools (search_datasets, layer_info, query_layer) directly support GIS operations. Missing typical GIS capabilities like geocoding, spatial analysis, or editing. The inclusion of many non-GIS tools does not compensate for the lack of depth in the core domain.