clean_remove_punctuation

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

No annotations provided, so description must convey behavioral traits. It states 'Remove all punctuation,' which is clear, but does not specify what constitutes punctuation or handle edge cases (e.g., empty strings). Adequate but minimal for a simple tool.

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 sentence, front-loaded with the core purpose. Every word is necessary, and there is no wasted text.

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 simple text cleaning tool with one parameter and an output schema, the description is largely complete. It explains the operation, though it could mention the output nature. The context is sufficiently conveyed for an AI agent.

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 has 0% description coverage, so the description must add meaning. It does by indicating that the 'text' parameter will have punctuation removed, but no further details on format or constraints. Baseline 3 given the simplicity.

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 removes all punctuation from text, using a specific verb and resource. It distinguishes from siblings like clean_remove_numbers or clean_remove_html by specifying punctuation.

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. While the function is straightforward, the description does not mention context or when not to use it, which is acceptable for a simple tool but lacks depth.

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