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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, idempotentHint, etc. The description adds context about the output format (returns schemas with curated examples, 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?

The description is front-loaded with the core purpose and organized into two clear parts: what it does and when to use it. A few sentences could be tightened, but overall efficient.

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 no output schema, the description fully explains what is returned: 'top-N most relevant tools with names, descriptions, and full input schemas.' This is complete for the tool's role as a discovery mechanism.

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 is 100% with descriptions for all 6 parameters. The description adds value by clarifying that multiple aliases (task, q, description, search) map to the same query parameter, and provides usage examples.

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' and lists many specific domains. It distinguishes itself from sibling tools by being a meta-tool for discovery, which is unique among the sibling list.

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 advises 'Call this FIRST when you have many tools available and want to see the option set (not just one answer).' This provides clear guidance on when to use the tool versus alternatives.

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

B3.4/5.0
Disambiguation3/5

While most tools have detailed descriptions, the large number of similar data-querying tools (ask_pipeworx, ask_pipeworx_grounded, deep_research, bet_research, etc.) and overlapping domains (Polymarket, company research, medical) create ambiguity for an agent.

Naming Consistency2/5

Tool names mix conventions: snake_case (ai_visibility_check, ask_pipeworx), camelCase absent, some with 'pipeworx' prefix, others not (bet_research, compare_entities). No consistent verb_noun pattern.

Tool Count1/5

33 tools for a server named 'Medical Codes' is excessive and misaligned. The vast majority of tools cover unrelated domains (finance, prediction markets, general research), making the count inappropriate for the stated purpose.

Completeness1/5

For medical coding, only three tools exist (search_icd10, search_loinc, search_medical_terms). The rest are tangential or unrelated, leaving severe gaps in medical code coverage.