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recipe_schema

Retrieve a registered recipe's declared input schema, including parameter types, units, defaults, ranges, and required choices. Use it as the contract for authoring parametric regeneration.

Instructions

Return one recipe's declared INPUT SCHEMA — its driving parameters with type/unit/default/range. Returns {schema, recipe, doc, inputs:[{name, type, unit?, default?, min?, max?, required, choices?, doc?}], emits}. recipe names a registered recipe; an unknown name fails loudly. This is the contract a parametric regeneration is authored against.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recipeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations the description carries full burden and does well: it discloses the failure mode ('an unknown name fails loudly') and the return structure. It could go further by stating side-effect/read-only nature and any auth requirements, but the failure semantics are valuable.

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?

Front-loaded with purpose first, then return shape, then parameter semantics. The inline return-type enumeration is dense but earns its place for a tool with no output schema. Slightly long but no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description correctly details the return object ({schema, recipe, doc, inputs:[...], emits}). Combined with the failure-mode note, an agent has enough to call it correctly, though read-only/authorization context is unstated.

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 0% with one parameter, so the description must compensate and does: '`recipe` names a registered recipe; an unknown name fails loudly' defines the valid domain and error behavior for the sole argument.

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 (Return) and resource (one recipe's declared INPUT SCHEMA) with the exact scope 'its driving parameters with type/unit/default/range'. An agent can distinguish this from recipe_list (enumerates recipes) and recipe (regenerates) without opening other schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives implied context via 'This is the contract a parametric regeneration is authored against', which signals it is used to discover inputs before regeneration. However, it never explicitly states when to use this vs recipe/recipe_list/recipe_validate, nor any exclusions.

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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