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

With no annotations, the description alone must disclose behavioral traits. It mentions the scope (negative news, recalls, warnings, lawsuits) but omits important details such as output format, data sources, freshness of results, or whether it's a read-only operation. The description is too sparse to provide adequate transparency.

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 a single, front-loaded sentence that directly states the tool's purpose. Every word contributes to understanding, with no redundant or irrelevant content.

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?

The tool has no annotations and no output schema, so the description must explain enough about behavior and return values. It fails to mention what the result looks like, how many alerts are returned, or any pagination/aggregation details. Given the minimal description and absence of structured context, the completeness is inadequate for a tool that likely returns a list of alerts.

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 100%, so the parameters 'lang' and 'brand' are already well-documented in the schema. The description adds context that the brand is checked for negative alerts, but it doesn't clarify that 'brand' is functionally required despite having no required flag in the schema. Overall, the description adds minimal value beyond the schema.

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 checks for recent negative news, recalls, warnings, or lawsuits about a brand, which gives a specific verb and resource. It distinguishes itself from sibling tools like review_search or sentiment_trend by focusing on negative alerts, though it doesn't explicitly name alternatives.

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 when to use the tool (to check for negative brand alerts) but provides no explicit guidance on when not to use it or how it differs from similar tools like brand_monitor or health_check. No alternatives or exclusions are mentioned.

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