suggest_datasets_v1_search_suggest_get

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

With no annotations, the description carries the burden. It discloses that the endpoint is public, only returns ready datasets, and describes the response format (suggestions with name, slug, etc.). No mention of rate limits or failure modes, but adequate for a simple read operation.

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 concise and well-structured: a single-line summary, then details, response format, and an example. Every sentence adds value without unnecessary repetition.

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 no output schema, the description defines the response structure (suggestions, query). It covers the core behavior and includes an example. Could mention that only 'ready' datasets are returned, which is done. Missing edge cases like empty result set, but acceptable for a simple 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 coverage is 100%, so baseline is 3. The description adds context by explaining the 'q' parameter as a prefix for autocomplete and giving an example (GET /v1/search/suggest?q=con). It also notes the limit parameter indirectly through the max of 10 in schema, but the description's response section adds value beyond schema.

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's purpose: 'Get autocomplete suggestions for search typeahead.' It specifies the resource (dataset names starting with prefix) and the condition (only 'ready' datasets), distinguishing it from other search tools like search_datasets_v1_search_get.

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 implies usage 'for use in search input autocomplete' but does not explicitly mention when to use this vs alternatives, nor provides when-not-to-use or exclusion criteria.

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