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

Annotations already declare readOnlyHint and openWorldHint. The description adds that inputs are validated server-side and that the tool returns a structured deliverable, which is consistent. It does not disclose potential costs, rate limits, or details about the deliverable's format, but the added context is moderate.

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 relatively concise with four sentences, but it includes unnecessary jargon ('Gapup agent-payable C-suite expertise (RISK)') that reduces clarity. The key information is front-loaded, but the structure could be more efficient.

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 tool has complex nested inputs (5 parameters, 3 required) and no output schema. The description only specifies a 'structured, audited deliverable' without detailing its content or response format. For the complexity, the description is insufficient for an agent to correctly invoke the tool and interpret results.

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 only 20%, so the description should compensate, but it fails to explain parameters beyond mentioning 'send the documented case fields'. The reference case hints at what inputs like company, aiUseCases, and targetFrameworks mean, but it is vague and in French. The async parameter and focus parameter are ignored.

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 states the tool pilots AI governance and returns a structured, audited deliverable. It includes a reference case that clarifies the domain (high-risk AI use in HR). However, it does not distinguish this tool from siblings like ai_governance_full_report_async or vertical_ai_agent_governance, which may have overlapping purposes.

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 provides no explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, limitations, or comparison to sibling tools. The openWorldHint annotation suggests flexibility, but the description lacks actionable usage context.

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