suggestRecipes

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

With no annotations, the description must fully communicate behavioral traits. It only says 'AI recipe suggestions', implying generation, but does not disclose required permissions, response time, error behavior, or whether it requires internet access. Critical details for a generative tool are missing.

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, which is efficient and front-loaded. It wastes no words, though slightly more detail could be included without harming conciseness.

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 no output schema and no annotations, the description should compensate by explaining what the output looks like (e.g., a list of recipes). It does not, leaving the agent without key information about expected results.

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 parameter 'nameOrBarcode' has 0% schema description coverage, and the description merely says 'using a product', offering no format expectations, examples, or constraints beyond the schema type. The parameter name is self-descriptive, but the description adds minimal value.

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 generates AI recipe suggestions based on a product. It uses a specific verb ('Get') and resource ('AI recipe suggestions'), and the context of 'using a product' differentiates it from sibling tools that focus on product lookup or analysis.

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 is provided on when to use this tool versus alternatives like searchProducts or analyzeProduct. There is no mention of prerequisites, limitations, or scenarios where this tool is preferred.

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