autopulse

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

No annotations are provided, so the description must convey behavioral traits. It discloses endpoint costs and global coverage but omits details on idempotency, rate limits, data freshness, or side effects. The listing of endpoints and costs offers moderate transparency.

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 verbose, including cost per call for each endpoint which is not essential for tool selection. It is structured with bullet points and front-loads key info (name, coverage), but could be more concise by omitting pricing details.

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 complexity (20 parameters, 10 endpoints), the description provides a good overview of capabilities and parameter-action mapping. No output schema exists, but the endpoints are straightforward lookups. The description covers scope sufficiently, though response format is not mentioned.

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% with individual parameter descriptions. The description adds context by mapping endpoints (action enum) to use cases (e.g., recall for safety recalls). This helps understand which parameters apply to which actions, adding value beyond the 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 identifies the tool as an automotive intelligence API with 10 specific endpoints covering recalls, problems, repair, comparison, etc. It distinguishes from siblings by focusing on automotive data (NHTSA, EPA, market). However, the cost-per-call detail is extraneous for purpose clarity.

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 lists endpoints but does not explicitly state when to use autopulse over sibling pulse tools. The 'automotive' focus implies domain, but no direct comparison or exclusions are provided.

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