Lookup barcode image

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety and idempotent profile is clear. The description adds the specific behavioral steps (decode then lookup), which is valuable beyond annotations. No contradictions with annotations.

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 concise sentence that clearly communicates the core function. Every word is necessary, and there is no redundant or extraneous information.

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 no output schema and a moderately complex two-step operation, the description lacks detail about what the tool returns (product info, nutritional data, etc.) and assumes the agent knows how to provide images. It covers the essential action but leaves out important contextual information about image quality requirements or response structure.

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 coverage is 0%, and the description does not explain any of the five parameters (image_path, image_base64, image_data_uri, image_mime_type, response_format). It only mentions 'barcode image' generically, providing no guidance on which input method to use or how to format the request. This forces the agent to rely solely on parameter names and types.

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 two-step operation: decode a packaged-food barcode image and then lookup the product in Open Food Facts. This specific verb+resource combination effectively distinguishes it from sibling tools like nourish_lookup_barcode (which takes a barcode string) and nourish_decode_barcode_image (which only decodes).

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 when to use the tool (when you have a barcode image), but it does not explicitly differentiate from alternatives or provide guidance on when not to use it. There is no mention of prerequisites or comparisons to similar sibling tools, leaving the agent to infer usage context from the name alone.

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