readability_analyze

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

With no annotations, the description carries the full burden, but it only discloses the $0.001 USDC cost. It does not mention accepted input, output format, side effects, or rate limits, so an agent cannot anticipate the tool's behavior beyond the price.

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 brief and contains no fluff, but the brevity results in under-specification rather than efficient communication. The cost sentence is useful, but the rest merely restates the name and category.

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?

The tool has no annotations and no output schema, and the description provides only a name plus cost. In a long sibling list with many text utilities, this is insufficient context 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.

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

The schema has one generic 'params' object with no property details, and the description adds no parameter semantics. Because schema coverage is reported at 100%, the baseline 3 applies, but the description adds no meaning beyond 'tool parameters as JSON object.'

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 repeats the tool name 'readability analyze' and labels it 'Other Utilities tool,' but never states what the tool actually does (e.g., compute a readability score for text). It also fails to distinguish this from the sibling readability_url, which likely analyzes readability for URLs.

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 readability_analyze versus alternatives such as readability_url or text_stats. The only additional signal, the cost, does not help with tool selection.

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