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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds useful context about what the data contains (verified Fortune 500 buyer-fit scores, methodology), but says nothing about return format, result size, or whether rankings are paginated.

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?

A single front-loaded sentence that leads with the verb and core resource, with no redundancy. The 'Sourced alternative to PitchBook & CB Insights' clause is mild marketing padding rather than operational information, but overall it is tight.

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?

For a simple two-parameter read tool with no output schema and full annotation coverage, the description conveys purpose, scope, and the shape of the returned content adequately. Missing only the meaning of 'evidence-graded' and any indication of result size, which are minor given the tool's simplicity.

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 50% (only 'period' is documented, as 'Ranking period id'). The description names sectors and period as filters, adding some meaning, but it lists only 5 of the 6 enum values (omitting 'agentic') and gives no period format or semantics beyond the schema's terse string.

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 ('Get ... Top-100 B2B startup rankings by sector ... and period') with concrete scoping (evidence-graded, buyer-fit scores). It differentiates from external products (PitchBook, CB Insights) but never distinguishes itself from sibling tools like get_profile, search_startups, or compare_vendors, which is the more relevant comparison for an agent.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives despite a rich sibling set (get_methodology, search_startups, get_profile). The agent must infer that this is the entry point for sector-level ranking data rather than reading it.

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