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

With no annotations, the description carries the full behavioral burden, and it does disclose a key non-obvious trait: this is a paid call ($0.50 USDC on Base via x402). However, it says nothing about latency, error/refund behavior, or whether the same company can be re-queried cheaply, leaving meaningful gaps for a paid mutation-adjacent service.

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, front-loaded with the price and the value proposition, then the contents, then use cases. Every clause adds information; no filler or restatement of the name.

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 and no annotations, so the description must stand alone, and it does list report contents and the payment requirement. It omits return format, granularity (per-company vs per-team), and freshness of the data, which an agent would need to set expectations correctly.

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 0% for the single required 'company' parameter, so the description is the only source of parameter meaning, and it only implies the input is a company identifier. It doesn't specify whether a name, domain, or ticker is expected, which is a real ambiguity for a single-param tool.

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?

The description names a specific deliverable (workforce-intelligence report) and enumerates its contents: hiring growth rate, scaling teams, geographic footprint, headcount estimate, executive takeaways. It doesn't explicitly differentiate from siblings like hiring_snapshot or hiring_landscape, so an agent must infer position in the family.

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?

It gives concrete use cases — gauging expansion, account research, competitive talent analysis, sourcing priorities — which tells an agent when this report is the right call. It stops short of naming exclusions or stating when a sibling (e.g., hiring_snapshot) would be preferred.

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