Lookup barcode image

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

Annotations indicate read-only, idempotent, and open-world behavior, so the agent knows it's safe. The description adds the external look-up via Open Food Facts, which is useful context beyond annotations. It could disclose error handling or rate limits, but the annotations already cover most behavioral traits.

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 conveys the core functionality. It is front-loaded and efficient, though it could be slightly expanded to improve parameter semantics. No extraneous information is included.

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 has five parameters and no output schema, the description is too minimal. It does not explain return values, error behavior, or typical use cases beyond the basic action. More details are needed for an agent to use it confidently.

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 input schema has 0% parameter description coverage, and the description does not clarify the purpose or relationship between the multiple image input parameters (image_path, image_base64, image_data_uri). It fails to help the agent choose which to provide, despite the tool having five parameters.

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 tool decodes a barcode image and looks up the product in Open Food Facts. It uses specific verbs 'decode' and 'lookup' and the resource is 'barcode image', distinguishing it from sibling tools like 'nourish_decode_barcode_image' and 'nourish_lookup_barcode'.

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 this tool is for when you have a barcode image, but it does not explicitly state when to use it versus alternatives. It lacks guidance on when not to use it or mention of sibling tools, leaving the agent to infer usage from context.

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