remove_accents

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

No annotations are present, so the description must disclose behavior. It only mentions the cost and category; it does not explain input requirements, output format, or edge cases like unsupported character sets.

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 very short but fails to convey necessary details; the 'Text & Encoding tool' phrase is filler and the cost is useful but insufficient. Under-specification is not conciseness.

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?

This is a text-manipulation tool with no output schema and no annotation support. The description lacks all operational context—how to invoke it, what arguments to provide, and what result to expect—making it unusable without external knowledge.

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 exposes only a generic 'params' object with no defined properties. The description does not mention any required or optional parameters, leaving the agent with no clue what payload to send.

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 'remove accents' and adds only a vague category label 'Text & Encoding tool'. It does not specify what operation is performed (e.g., stripping diacritical marks from strings) or how it differs from sibling tools like 'normalize_text' or 'slugify_text'.

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 over alternatives. The only additional information is the cost, which does not help select among the many text-processing tools.

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