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word_length_distribution

Analyze any text to get a breakdown of word lengths, showing how many words have each length. Useful for readability and text analysis.

Instructions

word length distribution — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It does mention a cost of $0.001 USDC via x402, which is useful, but it fails to describe what happens to input, whether it is a read-only operation, output format, or any side effects. This minimal disclosure is insufficient.

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

Conciseness2/5

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

The description is extremely short and includes the cost, but it is under-specified. It lacks any structural elements that help an agent quickly understand the tool's purpose or usage. The brevity is not appropriate for a tool with zero schema detail and no annotations.

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

Completeness1/5

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

The tool has no output schema, no annotations, and a generic input schema. The description adds almost no contextual information beyond the tool name and cost. It is completely inadequate for an agent to select and invoke the tool correctly.

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

Parameters1/5

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

The input schema only has a generic 'params' object with no specific properties, and the description does not mention any parameters or expected input format. The agent cannot determine what to pass (e.g., text, URL, file path). Parameter semantics are entirely absent.

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

Purpose3/5

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

The description 'word length distribution' conveys the tool's focus on analyzing word lengths and producing a distribution, but it lacks a verb or explicit statement of what the tool does. It doesn't distinguish itself from siblings like word_frequency or sentence_length_analyze, though the name is somewhat self-explanatory.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus the many text-analysis siblings (e.g., word_count, text_stats). The description only mentions cost and a category label, leaving the agent without any context for selection.

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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