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

Annotations (readOnlyHint, openWorldHint) already indicate the tool is read-only and generates content. The description adds that the output is 'audited' and that inputs are 'validated server-side', providing minor behavioral context beyond annotations. No contradictions are present.

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 concise (3 sentences) and front-loaded with the tool's purpose. Each sentence contributes: name, output type, reference example, and validation note. The reference case is specific but not overly verbose. Minor deduction for extraneous detail (the exact number of users) that could be generalized.

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?

Given the tool's complexity (nested inputs, no output schema), the description is incomplete. It does not describe the return format beyond 'structured, audited deliverable' or the components listed in the reference case. Without an output schema, the agent lacks full understanding of what to expect, especially for async usage and result polling.

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% (only 'async' has a description). The tool description does not explain any parameter meanings, despite offering a reference case that might imply structure. For a tool with 5 complex parameters (including nested objects), this is insufficient guidance for an AI agent.

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 identifies the tool as a market entry strategy generator, specifying verb 'returns' and resource 'structured, audited deliverable', with a concrete reference case (OpenAI India 2026) that outlines the analytical framework (Porter's 5 forces, entry modes, roadmap, risk register). This distinguishes it from sibling tools by emphasizing C-suite expertise and audit quality.

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 lacks explicit guidance on when to use this tool versus alternatives. It mentions 'Gapup agent-payable C-suite expertise' but does not specify conditions, exclusions, or when not to use it. No comparison to sibling tools like geographic_expansion or market_sizing is provided.

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