sentence_length_analyze

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

The only disclosed behavior is the cost via x402, which is useful but unrelated to the tool's operation. No annotations exist, so the description carries the full burden of explaining what happens to input data or what the tool returns; it fails to do so.

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?

While the description is very short, it is under-specified rather than concise. It occupies a single sentence but conveys no functional content, making the brevity a liability rather than a strength.

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?

Even for a simple utility, the description lacks essential context: no explanation of what 'sentence length' analysis entails, no input/output format, and no note of typical use cases. With an opaque schema and no annotations, this is profoundly inadequate.

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 is a generic 'params' object with no specific properties. The description adds zero information about what parameters are expected (e.g., text input, options), so the agent cannot know how to construct a valid invocation.

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 is essentially the tool name repeated with a vague category label ("Other Utilities tool"). It lacks a clear verb stating what the tool does, making it difficult to distinguish from other text-analysis siblings like word_count or readability_analyze.

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 provided about when to use this tool versus alternatives. The description gives no context, scenarios, or exclusions, leaving the agent without any basis for tool selection.

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