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word_length_distribution

Analyze any text to reveal word length distribution as histogram data for content analysis.

Instructions

Analyze word length distribution with histogram data.

Parameters:
    text — Text to analyze word length distribution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided. The description only mentions 'with histogram data' without detailing output structure or behavior. No mention of idempotency, side effects, or safety.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: one sentence for purpose and a one-line parameter list. No wasted words, but could benefit from more structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With one parameter and an existing output schema, the description is somewhat complete. However, it lacks details on how the histogram is computed or returned, which would aid agent understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'text' is described as 'Text to analyze word length distribution.' This adds minimal meaning beyond the schema (which has no parameter description). With 0% schema coverage, the description partially compensates but is still brief.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool's purpose clearly: 'Analyze word length distribution with histogram data.' This distinguishes it from siblings like word_frequency or word_count, but could be more specific about the scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives among the many sibling tools. No prerequisites or context provided.

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

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