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

The annotation set only contains openWorldHint: true, so the description carries most of the behavioral disclosure burden. It clearly indicates an analytical, non-mutating operation, but it does not describe output behavior, data sources, limitations, or possible variability. Pricing is included, which adds practical context, but behavioral transparency remains shallow.

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 highly concise: one focused sentence communicates the tool's analytical scope, followed by a compact pricing object. No filler or redundant repetition of the title or schema fields appears.

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 an output schema exists, return-value details are not necessarily the description's job. However, for a complex multi-tier supply chain analysis tool, the description is only minimally sufficient: it states the core analysis but does not connect it to sibling tools or add the context needed to avoid misuse. The schema compensates for many gaps, but the description itself could still do more.

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 documents both parameters thoroughly: pid includes an example ID and source tool; region_name includes examples and source-tool reference. Since schema description coverage is 100%, the description does not need to repeat parameter details, and it is fair that it does not add extra semantics.

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 uses a specific verb-object pair: 'Analyzes multi-tier supply chains' and goes beyond the title by naming the exact analytical goals: 'detect single-country concentration and quantify geographic dependency across regions.' This differentiates the tool from sibling tools like sg_visualization and supply_chain_risk_prediction, whose scopes are clearly different.

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 offers no guidance on when to use this tool vs its siblings, nor does it state any prerequisites or exclusions. The only extra usage signal is pricing, but cost is not a usage guideline. The parameter descriptions say pid and region_name come from search_company_candidates and search_region_candidates, but the description itself does not provide this context.

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