parse_prd

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

With no annotations provided, the description carries full burden but lacks critical behavioral details. It mentions 'AI-powered analysis' but doesn't disclose processing time, rate limits, authentication needs, or what happens to the input PRD. For a complex tool with 18 parameters, this is a significant gap in 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, efficient sentence that front-loads the core purpose. Every word contributes to understanding what the tool does, though it could be slightly more structured by separating purpose from the comparison note.

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 high complexity (18 parameters, 14 required), no annotations, no output schema, and 0% schema coverage, the description is inadequate. It explains the purpose well but omits essential details about parameters, behavior, and output format, leaving the agent with insufficient context for effective use.

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 0%, meaning none of the 18 parameters are documented in the schema. The description provides no information about any parameters—not even the required 'prdContent' or what 'maxTasks' controls. This fails to compensate for the complete lack of schema documentation.

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 verb ('parse') and resource ('Product Requirements Document'), specifies the output ('comprehensive list of actionable development tasks'), and distinguishes from siblings by mentioning 'AI-powered analysis' and 'similar to claude-task-master functionality'. This differentiates it from other tools like 'enhance_prd' or 'generate_prd'.

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 explicit guidance on when to use this tool versus alternatives is provided. The description doesn't mention prerequisites, when-not scenarios, or compare it to sibling tools like 'enhance_prd' or 'analyze_task_complexity'. The agent must infer usage from the purpose alone.

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