analyzeProduct

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

No annotations are provided; the description must cover behavioral traits. It does not disclose whether the tool is read-only, if it requires authentication, or what the AI analysis entails (e.g., potential costs). The description is too sparse.

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 sentence, front-loaded with the key purpose. No unnecessary words. However, it could include more detail without being overly long.

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 a single parameter and no output schema or annotations, the description is too brief. It fails to provide adequate context for an agent to invoke the tool correctly, such as what the result will contain or any constraints.

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 only parameter 'nameOrBarcode' has no description in schema (0% coverage) and the description does not explain what values it accepts (product name? barcode format?). The tool name suggests it analyzes a product, but the parameter semantics are unclear.

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 'Get AI nutritional analysis of a product' clearly indicates the action (Get) and the resource (AI nutritional analysis). It distinguishes from siblings like getProductByBarcode which provide raw data, not analysis. However, 'nutritional analysis' could be more specific.

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?

No guidance on when to use this tool versus siblings. For example, when to choose this over getProductByBarcode or compareProducts is not mentioned. No context of when not to use it.

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