text_stats

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

No annotations provided, so description must explain behavior. It only says 'comprehensive text statistics' without listing what specific metrics are included or any limitations (e.g., length, encoding).

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?

Description is short and includes a parameters section, but the format is minimal. It is concise but could be better structured with details about what statistics are included.

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 many sibling tools for specific counts, this tool's description should list included metrics to help selection. It fails to do so, leaving the agent unsure of what 'comprehensive' covers. Output schema exists but not referenced.

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 coverage is 0%, so description must compensate. It adds a brief line 'text — Text to analyze with full statistics,' which clarifies the parameter's role but lacks detail on format or constraints.

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 it provides 'comprehensive text statistics including all counts and metrics,' which identifies its purpose. However, it does not differentiate from sibling tools that offer specific statistics like char_count or word_count.

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. The description implies it covers multiple metrics, but does not state when a user should choose this over more specific tools.

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