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WingmanProtocol Agent Gateway

discover_tools

Read-onlyIdempotent

Find the right tool WITHOUT loading every schema into your context. Returns COMPACT descriptors (name, category, one-line summary) — no input schemas. Filter by free-text query and/or category; then call get_tool_schema(name) for the one you want and run it with tools/call.

Input Schema

NameRequiredDescriptionDefault
limitNomax results (default 40, max 150)
queryNofree-text match over tool name/summary
categoryNofilter to one category, e.g. finance, trades, memory, browser, vault, web, meta

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint true and destructiveHint false, so the safety profile is covered. The description adds meaningful behavior beyond that: the return payload is compact name/category/summary with NO input schemas, which tells the agent what it will and won't get back. It stops short of stating result-count behavior or pagination, which keeps it off a 5.

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?

Three compact sentences, each earning its place: the value prop is front-loaded, the return shape is spelled out, and the follow-up workflow is last. Zero filler.

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?

There's no output schema, so the description must explain the return value — and it does (compact descriptors, no schemas). Combined with 100% parameter coverage and annotations covering the safety profile, an agent has everything needed to call this correctly and chain into get_tool_schema.

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 query, category, and limit are already documented, making 3 the baseline. The description reinforces that query is free-text and category filters, but adds no syntax or format detail beyond what the schema provides.

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?

States a specific verb and resource ('find the right tool') plus its distinguishing value proposition — avoiding loading every schema into context. It clearly separates itself from schema-bearing siblings like get_tool_schema and capabilities by declaring it returns compact descriptors only.

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?

Gives an explicit two-step workflow: filter with `query`/`category`, then call get_tool_schema(name) for the chosen tool and run it with tools/call. The alternative (get_tool_schema) is named along with the condition that selects it, so nothing is left to inference.

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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