check_reading_level

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

With no annotations, the description carries the full burden of disclosing behavior. It vaguely states a JSON string is returned but does not describe whether the input is modified, whether network calls are made, or what fields the estimate contains. The term 'estimate' implies read-only, but this is not explicit.

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 appropriately short and front-loaded with the main purpose. The Args/Returns sections are standard and not overly verbose, though they add little beyond the first sentence.

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 is simple with one parameter and an output schema, so the description covers the basic purpose, input, and return type. However, it lacks important context such as the metric used (e.g., grade level, Flesch-Kincaid), return structure, and relationship to readability_tips.

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 only parameter, text, is described as 'The input text', which merely restates the parameter name. The schema already indicates it is a string, so the description adds no additional semantic value such as expected length, language, encoding, or constraints.

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 estimates reading difficulty level, using the verb 'Estimate' and specifying the resource as reading difficulty. However, it does not differentiate itself from the sibling readability_tips tool or specify the exact output metric.

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 on when to use this tool versus alternatives like readability_tips or analyze_text. There is no mention of preferred contexts, exclusions, or complementary tools.

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