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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.

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true, idempotentHint=true. Description adds beyond: returns top-N relevant tools with names, descriptions, full schemas with curated examples, and that results are ready to call directly. No contradictions.

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?

Description is front-loaded with purpose and usage. While somewhat long, every sentence adds value (use case, examples, return format). Could be slightly tighter but still effective.

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?

Fully addresses when to use, what it returns, and provides examples. Despite lacking output schema, the description clearly states the return structure (names, descriptions, schemas, examples) and that results are callable, making it complete for this discovery tool.

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 100%; description clarifies the main 'query' parameter accepts natural language and lists all aliases (task, q, search, description). Also documents default and max for 'limit'. Adds value beyond schema.

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?

Clear verb 'Find tools' with specific resource ('tools by describing the data or task'). Lists many example domains (SEC filings, FDA drugs, etc.) and explicitly distinguishes from siblings by being the discovery tool.

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 states 'Call this FIRST when you have many tools available and want to see the option set', providing clear when-to-use guidance. Implies alternatives by offering to return tools ready to call.

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

Many tools have overlapping purposes (e.g., ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded all serve similar query routing). Tools from unrelated domains (UK Gazette, Polymarket betting, AI visibility checks) are mixed together, making it hard for an agent to distinguish which tool to use for a given task.

Naming Consistency1/5

Naming is chaotic: some tools use descriptive phrases with underscores (gazette_deceased_estates, polymarket_arbitrage), others use generic verbs (remember, recall, forget), and some include version or mode indicators (ask_pipeworx_beta, scan_competitor_ai_presence). No consistent pattern across the set.

Tool Count2/5

With 36 tools, the server is overstuffed for its purported focus on the UK Gazette. The majority of tools (Polymarket, Pipeworx general, AI visibility, etc.) are unrelated to the server's name, making it feel like a bundling of many services into one, which is excessive for a coherent tool set.

Completeness2/5

For a server named 'Uk Gazette', there are only a handful of Gazette-specific tools (gazette_search_notices, gazette_insolvency_notices, etc.), while the rest cover unrelated domains. This leaves obvious gaps for Gazette-related tasks (e.g., no tool for searching particular notice types or filtering by edition), despite the large tool count.