analyze_task

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

Discloses that returns structured data including scale, use_case, domain, latency, and token volumes. While no annotations are present, the description is transparent about the tool's output and purpose, though it does not mention safety or side effects (likely benign).

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?

Three focused sentences: first on action, second on usage positioning, third on output. No redundant words; perfectly front-loaded.

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 presence of an output schema, the description's list of returned fields is sufficient. It provides a complete picture for the agent to understand input and output expectations.

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 parameter 'task_description' has no schema description, but the tool description explains it as 'free-text task description,' adding meaning beyond the schema. It compensates for the 0% coverage with clear context.

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 parses free-text into structured parameters, with specific verb 'Parse' and resource 'free-text task description'. It distinguishes from sibling tools like 'compare_cloud_vs_onprem' by positioning itself as an initial analysis step.

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?

Explicitly advises to 'Use this first to understand what the user needs before calling other tools,' giving clear guidance on when to invoke it within a workflow.

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