search_food
search_foodFind calorie information for specific foods to support dietary tracking and nutrition management.
Instructions
Search for calorie information of a specific food
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| foodName | Yes |
search_foodFind calorie information for specific foods to support dietary tracking and nutrition management.
Search for calorie information of a specific food
| Name | Required | Description | Default |
|---|---|---|---|
| foodName | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool searches for calorie information, implying a read-only operation, but doesn't cover aspects like rate limits, error handling, or response format. This is a significant gap for a tool with zero annotation coverage.
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 with no wasted words, clearly front-loading the core purpose. It's appropriately sized for a simple tool, making it easy to parse quickly.
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 simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It lacks details on behavioral traits, parameter usage, and output expectations, making it inadequate for reliable agent invocation without additional context.
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%, and the description doesn't add any parameter details beyond implying 'foodName' is needed. It doesn't explain what constitutes a valid food name (e.g., formatting, examples) or constraints, failing to compensate for the lack of schema documentation.
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 ('Search for') and resource ('calorie information of a specific food'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_daily_summary' or 'get_weekly_report', which might also involve food data but serve different purposes.
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 prerequisites, such as needing a food name, or contrast with siblings like 'add_meal' for logging or 'get_daily_summary' for aggregated data, leaving the agent to infer usage context.
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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