datasets_trustmrr_item

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

No annotations are provided, so the description must bear full behavioral disclosure. It describes the return data but fails to mention that the tool is read-only, idempotent, or any prerequisites (e.g., authentication, rate limits). This is a significant gap for a data retrieval tool.

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 a single, front-loaded sentence that efficiently conveys the tool's action, input, and output. No extraneous information, and each phrase earns its place.

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 usefully lists the returned fields (verified revenue/MRR, traffic, etc.) and the dataset ID. It lacks error conditions or response structure, but for a simple single-record lookup, 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 schema provides 100% coverage for the only parameter (slug) with a clear description. The tool description adds context about the dataset and returned fields but does not enhance the semantic meaning of the slug parameter 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 states the tool retrieves a single TrustMRR startup record by slug, listing the specific fields returned. It distinguishes from sibling tools like datasets_trustmrr_search (search) and datasets_trustmrr_facets (facets) by focusing on a single record lookup.

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 use when a specific slug is available, and the returned fields indicate it's for detailed startup data. However, it does not explicitly state when not to use it or mention alternatives like search for unknown slugs.

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