Skip to main content
Glama

get_recipe

Retrieve a complete recipe with steps, ingredients, and entity IDs to prepare for updates. Use this to get all IDs needed for editing without breaking existing data.

Instructions

Read one recipe in full: steps, ingredients, and all entity ids.

Always call this before update_recipe. The ids in the result are what you pass back to keep existing steps, ingredients, foods and units intact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recipe_idYesRecipe id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations exist, so the description carries the burden. It discloses that the tool returns entity ids necessary for preserving related data during updates, which is valuable behavioral context. While it doesn't mention error handling or other traits, it adequately covers the key read-only semantics and the importance of preserving ids.

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?

The description is compact and front-loaded: the first sentence states the core function, the second provides essential usage guidance. No wasted words.

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?

For a simple read tool with one parameter and an output schema, the description covers the essential context: what is returned, why it matters, and how it relates to update_recipe. The presence of an output schema handles return value details.

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?

The schema already fully describes the sole parameter (recipe_id) with 100% coverage, so the description doesn't need to add much. It doesn't go beyond the schema, but the baseline of 3 applies given high schema coverage.

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 the tool's function: 'Read one recipe in full: steps, ingredients, and all entity ids.' This specific verb+resource+scope distinguishes it from siblings like search_recipes (search) and update_recipe (write).

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 guidance is provided: 'Always call this before update_recipe.' This directly tells the agent when to use the tool and implies it is a prerequisite for updates, with further instruction on passing ids back.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Hugeldugelking/tandoor-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server