get_user_consumed_items
Retrieve food entries for a specific date to track nutrition intake and manage dietary data.
Instructions
Get food entries for a specific date
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| date | Yes | Date in YYYY-MM-DD format |
Retrieve food entries for a specific date to track nutrition intake and manage dietary data.
Get food entries for a specific date
| Name | Required | Description | Default |
|---|---|---|---|
| date | Yes | Date in YYYY-MM-DD format |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, so the agent knows this is a safe, repeatable read operation. The description adds minimal behavioral context beyond this, stating it retrieves data for a specific date but not detailing return format, pagination, or error handling. With annotations covering core safety, a 3 is appropriate for limited added value.
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 a single, efficient sentence that front-loads the core purpose ('Get food entries') with the key constraint ('for a specific date'). There is zero wasted verbiage, making it highly concise and well-structured.
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?
Given the tool's low complexity (1 parameter, 100% schema coverage, read-only/idempotent annotations) but lack of an output schema, the description is minimally adequate. It covers the basic operation but doesn't explain return values or potential edge cases, leaving gaps in completeness for agent invocation.
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 100%, with the 'date' parameter fully documented in the schema as a YYYY-MM-DD format string. The description implies date-based filtering but adds no syntax or format details beyond what the schema provides. Baseline 3 is correct when the schema does the heavy lifting.
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 states the verb 'Get' and the resource 'food entries' with the scope 'for a specific date', making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'get_user_daily_summary' or 'get_user_consumed_item' (which appears to be a write operation), missing full sibling differentiation.
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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_user_daily_summary' for aggregated data or 'search_products' for broader queries, nor does it specify prerequisites or exclusions for usage.
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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