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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered, lowering the bar. The description adds the return content ('rank, score, and verified commercial proof') and the 'evidence-graded' nature, but omits result limits, pagination, or corpus scope behavior beyond the sector list.

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?

Well front-loaded: purpose, then alternatives, then return values. The lengthy parenthetical enumerating agentic commerce subdomains ('agent payments, identity, inboxes, tools, directories...') is mildly bloated but does not obscure the core message.

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 no output schema, the description usefully states what is returned (rank, score, verified commercial proof), closing the biggest gap. It is reasonably complete for a search tool, though it omits any note on the limit cap or result volume.

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 67%; query and sector already carry descriptions, and limit is undocumented in both places. The description enumerates the covered sectors, which loosely complements the sector enum, but adds no syntax or formatting detail 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?

States a specific verb+resource ('Search ... B2B startup rankings') and positions itself against external products (CB Insights, PitchBook, G2). It does not distinguish itself from internal siblings like get_ranking or find_prospects, which an agent must still disambiguate on its own.

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 framing as an 'alternative to CB Insights, PitchBook, and G2 for finding enterprise-ready tech vendors' implies a discovery use case, but there is no explicit when-to-use or when-not guidance relative to the many sibling tools. Usage is inferred rather than stated.

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