case_convert
identifier case (camel|pascal|snake|kebab|upper|lower|title)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | ||
| input | No |
identifier case (camel|pascal|snake|kebab|upper|lower|title)
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | ||
| input | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no statement that this is a pure/deterministic transformation, no behavior for invalid case names, no handling of non-identifier input. The list of case formats is the only behavioral hint.
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?
Extremely short and front-loaded with no wasted words, but it is a sentence fragment rather than a complete statement, so brevity borders on under-specification. It is concise without being informative.
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?
For a tool with no output schema and 0% parameter coverage, the description should state the transformation direction, the meaning of 'input', and expected return shape. It covers only the target-case vocabulary, leaving the agent to guess how to invoke it 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?
Schema description coverage is 0% for both parameters. The description does add real value by enumerating the seven valid values for 'to' (camel, pascal, snake, kebab, upper, lower, title), which the schema does not express as an enum. However, the 'input' parameter remains wholly undocumented, so the description only partially compensates.
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 fragment 'identifier case (camel|pascal|snake|kebab|upper|lower|title)' implies converting an identifier's casing and enumerates the target formats, so the resource is identifiable. However, no verb is stated ('convert X to Y'), and nothing distinguishes it from the sibling 'slugify', which also transforms strings. Purpose is inferable but vague.
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 on when to use this tool versus alternatives (e.g., slugify, url_encode). There is no mention of context, prerequisites, or exclusions. The agent must infer usage entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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