Pepesto Products (KgToken → real SKUs)

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

With no annotations, the description discloses key behavioral traits: merging items across recipes, multiple matches per ingredient for user selection, output fields (title, image, price, classification, promotion), and specific rendering instructions (skip webp images). However, it does not mention idempotency, rate limits, or authorization requirements.

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 paragraph that covers all necessary details without excessive length. It could benefit from bullet points for output fields, but the information is front-loaded with the main purpose in the first sentence.

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 absence of an output schema, the description thoroughly explains the return values (title, image, product_id, price, classification, promotion) and the merging/user-picking behavior. It provides sufficient detail for an agent to understand the tool's function and output.

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 100%, so baseline is 3. The description adds only contextual behavior (merging, picking) but does not enhance parameter semantics beyond what the schema already provides (e.g., examples, source hints).

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 uses a specific verb 'Map' and clearly states the resource transformation: KgTokens to supermarket products. It distinguishes itself from sibling tools that handle parsing (pepesto_parse) or suggestion (pepesto_suggest) by focusing on product mapping.

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 the tool is used after obtaining KgTokens from pepesto_parse or pepesto_suggest, but it does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions.

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