validate_task_architecture

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

The description explains the types of issues identified (circular dependencies, missing dependencies, etc.), but fails to disclose whether the tool modifies state, requires special permissions, or has side effects. Without annotations, this gap leaves some behavioral uncertainty.

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: two sentences with no filler. The first sentence states the purpose, and the second expands on the types of issues found. Every sentence adds value.

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?

For a single-parameter tool with an output schema, the description covers the core functionality and typical findings. It lacks mention of best practices sources or range of analysis scope, but is largely sufficient for the given complexity.

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 single parameter 'project_path' is fully described by the input schema (100% coverage). The tool description adds no additional semantic detail about the parameter, 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 identifies the tool as validating task architecture against best practices, specifying it analyzes for concrete issues like circular dependencies and missing dependencies. This effectively communicates the purpose, though it does not explicitly differentiate from sibling tools like 'analyze_project_for_tasks'.

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 is given on when to use this tool versus alternatives (e.g., when to run validation instead of general analysis or recommendations). The description implies it is for architecture validation, but lacks explicit context for tool selection.

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