allbirds_search_suggest

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

No annotations are provided, so the description carries the behavioral burden. It discloses that the endpoint is credential-free and the URL is fixed server-side, which is useful operational context. It does not disclose pagination, default response shape, or whether 'types' restrict output or merely prioritize, but for a search-suggest read tool this is a moderate coverage.

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: one sentence states the purpose and return categories, a second gives the source URL and endpoint characteristic. It front-loads the core function and adds the important credential-free and fixed-URL notes with minimal words.

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 small read-only suggest tool, the description plus full schema coverage is reasonably complete. It could further explain response shape or type restrictions, but with no output schema and no annotations, the description still covers the call context (endpoint, auth-free nature, result categories). The missing pieces are minor for an agent choosing and invoking this tool.

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 the schema documents q, limit, and types. The description adds that results are grouped by type (products, collections, query suggestions) but does not clarify details like the meaning of the types comma-separated values beyond the schema's allowed values. Baseline 3 is appropriate because the schema does the heavy lifting and the description adds only the return-category context.

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?

States a specific action (get search suggestions), the data source (Allbirds), and the return types (products, collections, query suggestions). It distinguishes itself from other Allbirds tools by targeting the predictive search/suggest endpoint rather than product listing or store endpoints, though it doesn't explicitly name the sibling it is not.

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 says it calls Allbirds's credential-free predictive search Ajax endpoint, which implies it is for autocomplete-style suggestions, and the fixed storefront URL signals no auth/location setup. However, it does not state when to prefer this over allbirds_search, allbirds_products, or other suggest siblings, nor does it give exclusion conditions.

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