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

With no annotations provided, the description carries the behavioral disclosure burden. It meaningfully explains that this is a one-shot tool, not a multi-turn questionnaire, and adds sensitive-tier approval context. It does not explicitly state whether the call has side effects or is read-only, though the 'research and return' framing implies a read-oriented operation.

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 first sentence is front-loaded with the core action and use case, making the tool's purpose immediately clear. The sensitive-tier approval note is somewhat long but relevant to access behavior, and there is no redundant filler.

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 two-parameter tool with no output schema, the description covers the core purpose, trigger conditions, output shape, and access constraints. It does not enumerate exact return fields, but the stated output components — company context and single-proposal directive — are sufficient for an agent to decide whether to invoke it.

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 100%, so both companyId and initial_request are already documented in the schema. The description adds no parameter-specific details or clarifications beyond that, so the baseline score of 3 is appropriate.

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 what the tool does: research the company and return everything needed to propose a specialist hire in one shot. It also specifies the output shape — deep company context plus a single-proposal directive — and contrasts it with a multi-turn questionnaire. However, it does not explicitly differentiate from similar sibling tools like suggest_next_hire or hire_agent_with_context.

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 gives explicit trigger conditions: use when the user wants to hire, needs specialist help, or describes a problem a specialist would own. This gives clear when-to-use guidance. It stops short of naming alternatives or saying when not to use this tool, so it does not reach a 5.

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