dhl_impact_report

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

No annotations are provided, so the description carries full burden. It lists return values (engagement metrics, learning outcomes, etc.) but does not disclose whether the tool is read-only, any authentication requirements, rate limits, or potential side effects. The description is minimally adequate but lacks behavioral context beyond output.

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, efficient sentence that quickly communicates the tool's purpose and output. No unnecessary words or repetition.

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 the lack of an output schema, the description compensates by enumerating return types (student engagement, learning outcomes, satisfaction, mentor effectiveness, ROI). It is sufficiently complete for a report-generation tool, though it could mention any result format or size constraints.

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 67% with all parameters having descriptions. The tool description does not add any additional meaning beyond the schema's documentation of school_id, date_range (start/end dates), and metrics_requested (enum). With high schema coverage, baseline 3 is appropriate.

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 generates comprehensive mentoring impact and engagement reports for schools. It lists specific output metrics (engagement, outcomes, satisfaction, mentor effectiveness, ROI), clearly distinguishing it from sibling tools like dhl_career_explorer or dhl_session_plan.

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 on when to use this tool versus alternatives. For example, when a user needs to explore career paths or align curriculum, they might need a different tool. The description does not provide any context for when to choose this report generator over other sibling tools.

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