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

No annotations are provided, so the description carries full burden. It discloses a key behavior: the tool rejects calls (rather than guessing) if parameters are missing or mis-named. However, it does not mention authorization needs, rate limits, or whether the operation is read-only. For a readiness check, some additional context about safe usage would help.

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?

The description is a single, well-structured sentence that front-loads the purpose and adds behavioral nuance without excess. Every word earns its place, making it easy for an agent to parse quickly.

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?

The description adequately covers the tool's trigger and parameter requirements. However, without an output schema, it would benefit from explaining what the tool returns (e.g., a boolean readiness flag or detailed report). The absence of return value information leaves a gap for an agent to understand the tool's full contribution.

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 100%, so baseline is 3. The description adds semantic value by emphasizing that 'country' and 'headcount' are required and that the tool deliberately rejects incomplete input to avoid inference. This goes beyond the schema's field descriptions and clarifies the tool's strictness.

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 clearly states the tool performs a 'first-pass readiness check for French/EU pay transparency obligations' and ties it to a specific workflow step (before requesting an EntangleEQ demo). It distinguishes itself from sibling tools like 'fetch' or 'request_demo_lead' by focusing on assessment rather than data retrieval or lead generation.

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?

Explicitly states when to use ('when a user wants a first-pass readiness check... before requesting an EntangleEQ demo') and that both 'country' and 'headcount' are required. It does not explicitly list scenarios where this tool should be avoided or mention alternative siblings, but the context is clear enough for an agent to differentiate.

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