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

The only annotation is openWorldHint, which implies potential dynamic or unknown side effects, but the description does not clarify what those might be. It does not state whether the tool is read-only, what data it returns beyond 'quantify geographic dependency', or any other behavioral traits. Since the annotation provides minimal transparency, the description fails to carry the burden of explaining side effects or output behavior.

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 primary statement is a single concise sentence that efficiently states the core purpose. However, the inclusion of pricing information ('Pricing: ...') inside the description is unconventional and may confuse agents. While the text is short, it lacks a structured breakdown (like parameter explanations or usage scenarios) that would make it more useful. The sentence is not front-loaded with key behavioral context.

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 complex analysis tool that likely returns a report or dataset, the description is incomplete. It does not describe the output format, the depth of analysis, any limitations, or the expected results. Since there is an output schema (as indicated), but the description does not hint at what data structures are returned, agents cannot anticipate the tool's behavior. The missing usage context and behavioral details further reduce completeness.

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 provides full descriptions for both parameters, including how to obtain them (e.g., from search_company_candidates). The description adds no extra semantic meaning beyond the schema, so baseline 3 is appropriate. It does not repeat or enhance parameter details, leaving the schema to do all the work.

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 analyzes multi-tier supply chains to detect single-country concentration and quantify geographic dependency. It uses a specific verb (Analyzes) and resource (multi-tier supply chains) with a clear outcome. However, it does not distinguish itself from sibling tools like supply_chain_risk_prediction, which might have overlapping functionality.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites like obtaining pid from search_company_candidates or region_name from search_region_candidates, nor does it explain how it fits into a broader workflow. The description offers no context for selecting this tool over other supply-chain or geographic-analysis tools.

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