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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description usefully adds that revenue/MRR figures are 'payment-provider-verified' (a data-provenance signal) and that extra traffic/growth/category/tech fields come back, but it says nothing about pagination limits or rate behavior beyond what the schema states.

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?

Two tight sentences, front-loaded with the core action and followed by the value of the returned data. No filler, though the second sentence is somewhat dense.

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?

With an output schema present and full inline param docs, the description need not explain return values or filters, and it doesn't. However, for a 26-parameter search tool it is thin on orientation (no hint about the default sort behavior or the 10000-record pagination ceiling), leaving some gaps for an agent planning a query.

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% and every one of the 26 parameters is fully documented inline (allowed sort values, page/page_size caps, filter semantics). The description adds no parameter meaning beyond the schema, so the baseline of 3 is correct.

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 verb ('Search') and resource ('the TrustMRR startup dataset') and names the filterable dimensions of the returned records. It does not explicitly distinguish itself from the sibling datasets_trustmrr_facets / _item / _history tools, but the search scope is unambiguous.

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 closing phrase 'use filters to narrow the indexed records' implies usage but gives no explicit when-to-use, when-not, or alternative-tool routing (e.g. facets vs item vs history). The agent must infer the boundary from sibling names alone.

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