Text-Toolkit

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

No annotations are provided, so the description carries full burden. 'Convert text to camelCase' implies a pure transformation with no side effects, but it doesn't disclose behavioral traits like: whether it preserves non-alphanumeric characters, how it handles locale-specific rules (given the locale parameter), what happens with empty input, or error conditions. For a 4-parameter tool with zero annotation coverage, this is insufficient.

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 a single, efficient sentence with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a straightforward transformation tool. Every word earns its place.

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 4 parameters with 0% schema coverage, no annotations, no output schema, and multiple sibling tools, the description is incomplete. It doesn't explain parameter roles, output format, error handling, or differentiation from alternatives. For a text transformation tool in a crowded namespace, more context is needed to guide proper usage.

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?

Schema description coverage is 0%, meaning none of the 4 parameters have descriptions in the schema. The tool description mentions only 'text' implicitly but provides no information about the delimiter, locale, or mergeAmbiguousCharacters parameters. It doesn't explain what these parameters do, their default values, or how they affect the conversion. The description fails to compensate for the complete lack of schema documentation.

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 verb 'convert' and the transformation target 'to camelCase', which is specific and unambiguous. It distinguishes from siblings like case_to_snake or case_to_kebab by naming the exact output format. However, it doesn't specify what type of input text it accepts (e.g., any case format) or mention the resource being transformed.

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?

The description provides no guidance on when to use this tool versus the many sibling case conversion tools (case_to_snake, case_to_kebab, etc.). It doesn't indicate what input formats are appropriate, when camelCase output is preferred, or any prerequisites. The agent must infer usage from the name alone.

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