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

The annotation openWorldHint=true is present, but the description doesn't add much behavioral context beyond what the annotation implies. It doesn't disclose what the output looks like, whether it's a read-only operation, or any side effects. The pricing information is included, which is useful, but it doesn't explain the tool's behavior in detail.

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 and front-loaded with the main purpose. The pricing information is included but is not part of the core description. The structure is clear, with the main purpose stated first, followed by pricing. It's efficient without unnecessary fluff.

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 that there is an output schema (though not shown in the input), the description doesn't need to explain return values. However, the description could be more complete by explaining what kind of analysis results to expect (e.g., a report, a score, a list of dependencies). The pricing is included, but the tool's output format and how to interpret the results are not described.

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 schema description coverage is 100%, so the parameters are well-documented in the schema. The description adds value by explaining that 'pid' is an internal company ID and 'region_name' is a standardized country/region name, and it provides examples of how to obtain them from other MCP tools. 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 description clearly states the tool's purpose: analyzing multi-tier supply chains to detect single-country concentration and quantify geographic dependency. It uses specific verbs (analyzes, detect, quantify) and identifies the resource (multi-tier supply chains). However, it doesn't explicitly distinguish itself from the sibling tool 'supply_chain_risk_prediction' or 'sg_visualization', which could be related.

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 implies usage for geographic concentration analysis but does not provide explicit guidance on when to use this tool versus alternatives like 'supply_chain_risk_prediction' or 'sg_visualization'. It doesn't state when not to use it or mention any prerequisites beyond the parameters.

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