pyp6xer_generate_report

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

Annotations already mark the tool as readOnly, non-destructive, and idempotent. The description adds useful behavioral context by detailing the output structure (metrics and narrative sections) without contradicting annotations.

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 extremely concise with two front-loaded sentences covering purpose, output, and usage. Every sentence provides unique value, and there is no redundancy or unnecessary detail.

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, the description need not detail return values. It lists key metrics and narrative sections, which is sufficient context for an AI agent to decide when to use this tool over siblings that produce individual metrics.

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 describes both parameters (cache_key and proj_id) with 100% coverage. The description does not provide additional meaning beyond summarizing their roles, so the baseline score of 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 assembles a complete monthly progress report dataset and lists specific metrics (progress %, health score, slipping activities, critical path density, earned value). It distinguishes itself from siblings that typically return individual metrics, making the purpose clear and unique.

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 advises using the data to write a monthly narrative with specified sections, implying usage for comprehensive reporting. While it does not explicitly state when not to use or compare to alternatives like pyp6xer_progress_summary, the context of 'complete monthly report' differentiates it sufficiently.

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