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

No annotations are provided, so the description carries the full burden. It adds real behavioral value by disclosing the ranking factors behind the match percentage (same category, price distance, product type, same store), but it omits whether the lookup is read-only, any result-count limits, error behavior for unknown ids, or cross-store scope.

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?

A single front-loaded sentence that leads with the input, then the output, then the scoring criteria. No filler or redundant restatement of the tool name.

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?

There is no output schema, and the description does explain the return value shape (ranked alternatives plus an explanatory match percentage), so the main gap is closed. Missing only operational details such as result caps or behavior on unknown product ids.

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?

With 0% schema description coverage, the single parameter is undocumented in the schema, and the description compensates only partially by identifying it as an 'Avahit product id' (domain-qualified, not arbitrary). It adds no format, prefix, or validity details.

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 states a specific verb and resource: 'return ranked alternatives' for a given Avahit product id, with the notion of a match percentage. This is clearly distinct from the siblings search_products (discovery) and get_price_history (price data), though it never names them explicitly.

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?

Usage is only implied: an agent can infer it is used when it already holds a product id and wants substitutes. There is no explicit when-to-use, when-not-to-use, or routing against search_products, which also surfaces products.

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