moncler_category

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

With no annotations, the description carries the burden of behavioral disclosure. It discloses read-only browsing, the closed-set category_id constraint, and that output is the same normalized result/facet shape as moncler-search, plus filter narrowing. It does not cover pagination behavior, auth, or error/edge cases, leaving some gaps.

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 compact and front-loaded, with the core purpose in the first sentence. The only minor inefficiency is that the first two sentences ('Browse a Moncler category' / 'Lists products within one category') are near-duplicative.

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?

For a moderate 5-parameter browse tool, the description covers the critical selection and invocation facts: category_id provenance, filter behavior, and result-shape relationship to moncler-search. Parameter details for sort/limit/offset are left to the schema, and the reference to moncler-search's shape provides enough orientation. Minor gaps remain around filter value syntax and explicit pagination semantics.

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 coverage is 100%, so the baseline is 3. The description adds value by emphasizing that category_id is a closed upstream-defined set and by clarifying that filter narrows the same results. It does not spell out the filter value syntax, and the schema's filter description is truncated, but the added context is meaningful.

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 opens with a specific verb and resource ('Browse a Moncler category') and clarifies it 'Lists products within one category.' It also distinguishes itself from related siblings by requiring category_id from moncler-categories and by referencing moncler-search's result shape.

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?

It gives a clear prerequisite: category_id must come from moncler-categories' own category_id field, a closed upstream-defined set, which tells an agent when this tool is appropriate. It also positions filter as a narrowing mechanism and relates the output to moncler-search, though it never explicitly states when to prefer moncler_search over this tool.

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