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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds one genuine behavioral trait, the 'newest first' default ordering, but says nothing about pagination, result caps, or how filtering combines.

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 sentences, dense and front-loaded: the resource and fields come first, then ordering and filters. Every clause carries information, though the field enumeration reads slightly list-like.

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 previews the returned fields, and it covers most filter axes for a 7-parameter tool. The missing pieces (limit behavior, sort_by=amount, enum meanings for sector/region) are minor against what is present.

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 only 29%, so the description must compensate, and it partially does by naming region, sector, company/investor, date, and minimum-amount filters. It leaves 'limit' and the sort_by enum values unexplained beyond the implied 'newest first' default.

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 the resource precisely (funding rounds of AI companies) and enumerates the returned fields (company, business, round, amount, valuation, investors, source links). No sibling tool touches funding data, so differentiation is implicit rather than stated.

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 the available filter dimensions (region, sector, company/investor, date, minimum amount) and the default ordering, which implies when the tool is useful, but gives no explicit when-to-use framing or exclusions. No sibling is similar enough to require routing guidance, so the gap is modest.

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