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get_recipe

Get one full recipe by id from search_recipes (free). Needs an email: pass email here, ?email= on the MCP URL, or an X-Email header. Use your human's email if they agree. Returns the full recipe and its next_step tool.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_recipe"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes
emailNoyour (or your human's) email address

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / email
      Added value: +{
      +  "description": "your (or your human's) email address",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Despite zero annotations, it discloses the operation is free, is a read ('Get'), requires an email credential with three accepted delivery mechanisms, and returns the full recipe plus a next_step tool. The main remaining gap is that it never states what happens if the id is stale or the email is rejected, but the auth and return behavior are well covered.

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?

Three front-loaded sentences: purpose and id source first, then the auth requirement, then the return value. Every sentence carries information, though the parenthetical '(free)' and the header/query-string enumeration make it slightly denser than strictly necessary.

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 and no annotations, so the description must explain returns and constraints — which it does by naming the returned payload and the next_step affordance and by detailing the email requirement. What's missing is failure-mode context for an invalid id or missing email, which would round out a tool whose structured metadata is otherwise empty.

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?

With no annotations, the description carries the full burden and it does add real meaning: it tells the agent that `id` must be obtained from search_recipes and enumerates three distinct channels for `email` (param, query string, header), which the 50%-covered schema does not. The guidance to use the human's email with consent gives the value semantics the schema lacks.

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?

Specific verb (get) plus resource (one full recipe) plus the scoping qualifier 'by id from search_recipes', which both explains where the id comes from and separates it from the sibling list/search tools. The '(free)' tag adds a useful differentiator an agent can't derive from the name alone.

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

Usage Guidelines4/5

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

It states the retrieval context (single recipe by id, with ids sourced from search_recipes) and gives explicit alternatives for supplying the email. It stops short of an explicit 'use search_recipes first to find the id' instruction or a when-not-to-use condition, but the implied workflow is unambiguous.

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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