Quarterback

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

Lacks critical behavioral details given no annotations: does not specify output format (score, boolean, text?), side effects, or if the assessment is persisted.

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?

Single sentence is appropriately terse and front-loaded, though extreme brevity leaves functional gaps.

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?

Critical omission: no output schema exists, yet description fails to explain what the assessment returns (rating, analysis, recommendation).

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?

Mentions 'proposed task' which loosely maps to the task_description parameter, but fails to compensate for 0% schema coverage by specifying expected content, format, or length.

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?

Clearly states the tool evaluates task alignment with organizational goals, distinguishing it from sibling CRUD operations like add_task or update_task.

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?

Provides no guidance on when to use this assessment versus directly adding tasks or using get_priorities.

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