pristine_marketplace_search_suggest

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

With no annotations, the description carries the behavioral burden, and it does add useful context by noting the endpoint is credential-free and the storefront URL is fixed server-side. However, it does not disclose response structure, pagination, rate-limit behavior, or whether this is strictly read-only, leaving some operational uncertainty.

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 definition is two sentences with the key action front-loaded and no filler. The 'Ajax endpoint' detail is slightly implementation-specific, but it still earns its place by clarifying the source and the fixed server-side URL. Overall this is an efficient, well-structured description.

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 simple three-parameter suggest tool without an output schema, the description covers the input source, fixed storefront URL, credential-free access, and high-level return types. It does not describe the output shape or explicitly distinguish itself from the full `pristine_marketplace_search` sibling, but for this tool's complexity it is mostly complete.

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?

The input schema already describes all three parameters with 100% coverage, so the baseline is 3. The description's mention of products, collections, and query suggestions loosely maps to the `types` parameter but adds no format, defaults, or value semantics beyond what the schema already provides.

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 Pristine Marketplace search suggestions') and enumerates the return types (products, collections, query suggestions) as well as the source endpoint. It clearly identifies the tool's resource, but it does not explicitly name or contrast the sibling `pristine_marketplace_search` to rule out confusion between suggestions and full search results.

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 guidance is given on when to prefer this tool over `pristine_marketplace_search`, `pristine_marketplace_product`, or the broader set of suggest-related siblings. The description implies an autocomplete-style use case but includes no exclusions, alternatives, or conditions for selection.

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