flesch_reading_ease

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

No annotations are provided, so the description carries full burden. It does not state that the operation is read-only, nor does it describe any constraints (e.g., text length, required language, handling of empty input). The interpretation ranges are given, but behavioral side effects or safety traits are missing.

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 extremely concise (two sentences, 14 words) and includes the most critical information: the score purpose and the interpretation scale. Every word earns its place with no fluff.

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 the low complexity (one parameter, simple calculation), the description provides the interpretation ranges which is helpful. However, it lacks context about tool prerequisites (e.g., English text), output format (though an output schema exists, its details might help), and how it compares to sibling readability tools. It is minimally adequate but has gaps.

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 has 0% description coverage for the 'text' parameter. The description adds no semantics beyond the parameter name (text). It does not specify expected encoding, length limits, or type nuances. With no parameter documentation, the description should compensate but fails to do so.

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 the tool computes a Flesch Reading Ease score and provides interpretation ranges (90-100 very easy, 60-69 standard, 0-29 very confusing). This specifies the verb and resource well. However, among sibling readability indices (e.g., flesch_kincaid_grade, automated_readability_index), it does not differentiate itself, slightly reducing clarity for selection.

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 given on when to use this tool vs. the many sibling readability tools (flesch_kincaid_grade, coleman_liau_index, etc.). An agent has no context to choose appropriately, and no when-not-to or alternatives are mentioned.

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