List saved recipes
list_savedList the user's saved recipes, for "my recipes", "what did I save", "the one I kept last week".
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| recipes | Yes |
list_savedList the user's saved recipes, for "my recipes", "what did I save", "the one I kept last week".
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| recipes | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered without the description. The description adds no behavioral detail beyond that—no ordering, recency semantics, or result limits—although the presence of an output schema reduces the need to describe returns.
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?
A single sentence, front-loaded with the action and resource, with the disambiguating trigger phrases appended compactly. Nothing redundant.
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?
With zero parameters, a complete annotation set, and an output schema to describe the return shape, the description carries almost the entire remaining burden and covers it. The only unaddressed element is ordering/recency behavior, which the annotations do not supply.
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?
The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies.
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?
Clear verb+resource ('List the user's saved recipes') with the scope narrowed to the saved collection rather than all recipes. It does not explicitly name a sibling such as search_recipes or find_by_ingredients, so differentiation is implicit rather than stated.
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 quoted user phrasings ('my recipes', 'what did I save', 'the one I kept last week') act as concrete invocation triggers and map intent to the tool well. There is no explicit when-not guidance or named alternative, so it stops short of full routing instructions.
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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