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

With no annotations, the description must carry the behavioral disclosure burden. It does mention that it normalizes input into CIR and returns both the normalized CIR and a human-readable explanation, which is useful. However, it omits details on edge cases, error behavior, or side effects, and does not clarify what happens with empty or malformed input.

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 concise at three sentences, with the primary action front-loaded. It is efficient and avoids fluff. However, it omits crucial parameter information, so while it is structurally clean, it is not fully informative.

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 tool with four parameters and no schema explanations, the description is incomplete. It does not clarify which parameter holds the task text, does not differentiate from sibling parse tools, and offers no usage guidance. The existence of an output schema helps, but the input side is severely under-specified.

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%, and the description fails to compensate. It never explains what the four parameters (text, prompt, task_text, description) are for or how they relate. The phrase 'natural-language task text' could hint at 'task_text', but it is ambiguous and leaves the agent unable to choose correct inputs.

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 a specific action ('Convert natural-language task text into CIR and task_structure dict') and names the two output artifacts. It conveys the tool's core function well. However, it does not distinguish this from the sibling tool 'cognitive.parse_task', which likely serves a similar purpose, so it misses explicit differentiation.

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. The description does not mention conditions, prerequisites, or when not to use it. It only states what it does without contextualizing it against other parsing or reasoning tools.

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