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

No annotations are provided, so the description carries the burden. It does disclose that the output is pre-computed derived intelligence summarized into a single verdict with an enumerated vocabulary ('growing', 'stable', 'distressed'), which is real behavioral context beyond the schema. It stops short of stating read-only/non-mutating behavior, freshness of the underlying data, or rate limits.

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, zero filler. The content of the tool is front-loaded in the first sentence and the disambiguation follows immediately.

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?

There is no output schema, so the description correctly enumerates the returned metrics and the verdict vocabulary. The remaining gap is the undocumented cui input, a single missing detail in an otherwise complete definition.

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 0% and the description never mentions the single required parameter. 'A Romanian company' is the only hint that cui is a Romanian company identifier; format, validity, or what happens on an unknown CUI is unspecified, so the description does not compensate for the coverage gap.

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 and enumerates exactly what is derived: YoY revenue trend, headcount trajectory, net margin, liquidity/distress signals. It explicitly names the sibling it differs from ('use lookup_financials for the raw figures'), so an agent can distinguish the two without opening either schema.

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?

Explicit when-to-use routing: 'Use it for interpretation; use lookup_financials for the raw figures.' The alternative and the condition that selects it are both named, leaving nothing to inference.

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