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

No annotations are provided, so the description must fully explain behavior. It fails to disclose what the tool returns (e.g., product IDs vs full product data), whether it requires canonical slugs from getFilterOptions, or if it performs any side effects. The 'configure' name suggests mutation, but description indicates search, creating ambiguity.

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 brief and front-loaded, but for a tool with 15 optional parameters and no output schema, it is under-specified. The example is valuable, but the structure lacks necessary detail about parameter combinations or return format.

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's complexity (15 optional filters, no output schema, no annotations), the description is insufficient. It doesn't explain the return value, how filters are combined, or how the natural-language example maps to structured parameters. This leaves significant ambiguity for an AI agent.

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 itself adds no parameter-specific meaning, though the example query hints at natural-language usage. Parameters like 'power' refer to getFilterOptions values, but this is only in the schema, not the main description.

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 finds products matching a need, with concrete examples. It distinguishes from sibling tools that fetch filter options, though it doesn't explicitly differentiate. The name 'configureProduct' is slightly misleading, but the description resolves it.

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 explicit guidance on when to use this tool vs alternatives. The examples imply use cases but don't explain prerequisites like fetching filter options first, or mention that getProductData is for retrieving product details. No exclusions or alternative tool references.

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