get_recipe
Retrieve a complete recipe with ingredients and instructions by providing its unique slug.
Instructions
Fetch a full recipe by slug, including ingredients and instructions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Retrieve a complete recipe with ingredients and instructions by providing its unique slug.
Fetch a full recipe by slug, including ingredients and instructions.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It does not mention that this is a read-only operation, what happens with an invalid slug, or any authorization requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise—one sentence—and contains no unnecessary words. It is well-structured and front-loaded with the key action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description covers the basic purpose but lacks details about return format, error behavior, or typical use cases, leaving some gaps for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It mentions 'slug' but does not explain what a slug is, how to obtain it, or any formatting constraints, adding minimal value beyond the parameter name.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the action ('Fetch'), resource ('full recipe'), identifier ('by slug'), and content ('including ingredients and instructions'). It effectively distinguishes from sibling tools like 'list_recipes'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you have a slug and need a complete recipe, but it does not provide explicit guidance on when to use this tool versus alternatives or mention any prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/obrien-matthew/mcp-mealie'
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