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

The annotation is only openWorldHint, so the description bears most responsibility. It adds context about benchmarking ownership, legal, and financial risk, and includes pricing as a cost signal. However, it does not disclose output format, runtime behavior, or what happens when chapter_name is omitted beyond the schema default, leaving significant behavioral aspects unstated.

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 opening sentence is concise and front-loaded, but the description is dominated by a large raw JSON pricing block with 40 options. This is machine-readable but verbose and could have been summarized or externalized. It is not a concise description, though the pricing data does have practical value.

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 an output schema exists, return value details are not necessary. The description states the report's purpose and includes pricing options, but it lacks guidance on how this tool relates to sibling tools, expected runtime, or the meaning/impact of the ALL option beyond the schema. It is adequate but has clear gaps for a complex report-generation tool.

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?

The input schema already provides full coverage (100%) for pid and chapter_name, including an example for pid and an enum/default for chapter_name. The description's pricing block adds meaningful per-chapter cost information, which gives the agent additional semantic insight for selecting chapter_name based on cost. This goes beyond the schema's basic descriptions.

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 first sentence clearly states a specific action ('Generates comprehensive supplier due diligence reports'), the resource ('global enterprise data'), and the purpose ('compliance and procurement decisions'). It distinguishes itself from the many granular company_* sibling tools by emphasizing comprehensiveness, though it does not explicitly contrast itself with them.

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 guidance on when to use this tool versus alternatives, no exclusions, and no mention of the many sibling tools that retrieve individual data points. The pricing data hints at chapter selection, but there is no explicit statement like 'use this instead of calling multiple company_* tools for a consolidated view.'

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