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list_recipes

Read-only

Ready-made, VERIFIED recipes: intent -> operationId + a correct example body + notes on non-obvious conventions the schema can't show (e.g. 'a new tag is created only when id == text', or 'this endpoint adds, the *.Update endpoint replaces'). capability_map names the recipe for a task as 'recipe:' — fetch it here with search= before building that call by hand. Search is AND over every word, so ask for ONE intent per call ('upload_file', then 'create_landing_site') — bundling several returns nothing. With 'search' the closest few come back in FULL (an exact intent match always among them) and any further matches as stubs — intent + operationId, usually all you need; without 'search', lightweight stubs of every recipe. A recipe that CREATES something also carries 'deadUnless': the surface a real client meets that artifact on and the connection that makes it work. Treat it as part of the job — most things here are invisible until something a visitor actually opens carries them, and the same text comes back on the invoke_operation result that creates one.

Input Schema

NameRequiredDescriptionDefault
searchNoOptional search over recipe intent/title/notes. ONE intent per call, e.g. 'tag contact' or 'upload_file' — every word must match, so multi-intent queries return zero. Empty returns all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already mark this read-only, non-destructive, and closed-world, and the description is consistent with them. Beyond that it discloses real behavior the schema cannot: search matches on intent/title/notes only, exact intent match always appears in the FULL results with further matches as stubs, and creating recipes carry a 'deadUnless' surface/connection field. That is substantive added context.

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?

It is front-loaded with what the tool returns, then usage, then the deadUnless caveat, and nearly every sentence carries information. It is a dense single paragraph with some run-on phrasing in the deadUnless explanation, which slightly hurts scannability, but there is little pure 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 is no output schema, so the description must explain returns, and it does: FULL recipes vs. stubs, what an exact match guarantees, and the extra 'deadUnless' field on creating recipes. Combined with the parameter guidance, an agent has everything needed to call 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?

Schema description coverage is 100% for the single 'search' parameter, and the schema already documents the AND matching, the one-intent-per-call rule, and empty-returns-all. The description largely restates that (e.g. 'upload_file, then create_landing_site') without adding syntax or format beyond the schema, so the baseline of 3 applies.

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 states a concrete verb and resource: it serves ready-made, VERIFIED recipes that map an intent to an operationId, an example body, and convention notes. It also distinguishes itself from siblings by naming capability_map and invoke_operation, so an agent knows this is the recipe lookup rather than the operation schema lookup.

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?

Explicit routing: capability_map names a recipe as 'recipe:<intent>', and the agent should fetch it here with search=<intent> before building the call by hand. It also states the constraint (one intent per call, AND over every word) and what happens with and without 'search', leaving nothing 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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