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Discover Tools

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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.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already mark the tool read-only and idempotent. The description adds behavioral value by disclosing the return format: 'top-N most relevant tools with names, descriptions, and full input schemas (with curated examples)' and that results are 'ready to call directly, no second schema lookup needed.' This goes beyond annotations without contradicting them.

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 two sentences, front-loaded with purpose, and each clause adds useful information (domains covered, return format, no-lookup needed, first-call recommendation). While slightly long, every sentence earns its place.

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 having no output schema, the description fully specifies what the tool returns (top-N tools with schemas and examples) and when to invoke it. Given its meta-search role and clear behavioral contract, the description is complete for an agent to select and invoke it 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?

The input schema provides full descriptions for all 6 parameters, including alias relationships. The description does not add parameter-specific semantics beyond what the schema already covers, so 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 opens with a specific verb+resource: 'Find tools by describing the data or task.' It enumerates many domains and explicitly distinguishes itself from siblings by stating 'Call this FIRST when you have many tools available and want to see the option set (not just one 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?

The description states when to use it ('when you need to browse, search, look up, or discover what tools exist') and provides an explicit directive to use it first when many tools are available. It also contrasts with getting 'just one answer,' implying specialized tools are for direct queries.

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

A3.8/5.0
Disambiguation3/5

Many tools have distinct purposes, but there is overlap within the Pipeworx family (ask_pipeworx vs ask_pipeworx_grounded) and Polymarket tools (bet_research, polymarket_edges, etc.). Descriptions are detailed and help differentiate, but the sheer number of tools from different domains can cause an agent to select the wrong one for a given task.

Naming Consistency2/5

Naming is highly inconsistent: some tools follow verb_noun (ask_pipeworx, compare_entities), others are nouns (layer_info, entity_profile), and some have prefixes (pipeworx_trending, polymarket_arbitrage). There is no uniform pattern, making the set feel chaotic.

Tool Count2/5

33 tools is far too many for a server named 'Arcgis Maricopa', which only has 3 GIS-specific tools. The remaining tools are from unrelated domains (polymarket betting, general Pipeworx queries, utilities), making the tool set bloated and unfocused for its stated purpose.

Completeness3/5

For the ArcGIS domain, the set is minimal (only search, schema, and query) and lacks management or analysis tools. However, the broader toolset covers many data domains (finance, drugs, prediction markets), but with gaps like no update/delete operations for the GIS data. The overall coverage is mixed.