case_convert
Case converter client and server side from freedailypro — upper, lower, title, sentence, camel, pascal, snake, kebab, constant, alternating, inverse
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| case | Yes | ||
| text | Yes |
Case converter client and server side from freedailypro — upper, lower, title, sentence, camel, pascal, snake, kebab, constant, alternating, inverse
| Name | Required | Description | Default |
|---|---|---|---|
| case | Yes | ||
| text | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds no behavioral context beyond that — it neither explains what 'client and server side' means, nor how the transform handles separators/word boundaries, nor edge cases like empty text. It essentially duplicates the enum already in the schema.
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?
A single sentence, so size is appropriate, but the leading branding phrase 'client and server side from freedailypro' consumes space at the front where the actual capabilities are buried.
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 simple pure-transform tool with no output schema and annotations covering safety, the description conveys enough to attempt a call. However, the 0%-covered parameters and undefined semantics for several enum modes leave gaps an agent cannot resolve from any available field.
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% and there are 2 required parameters. The description re-lists the case enum values that the schema already specifies, adding no meaning for ambiguous modes such as 'alternating', 'inverse', or how 'title'/'sentence' handle punctuation. The 'text' parameter receives no explanation at all.
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?
States a specific verb+resource (convert text case) and enumerates all supported target cases, which distinguishes it from siblings like fancy_text, reverse_text, and sort_text. The branding fragment 'client and server side from freedailypro' is noise that adds no clarity, but the core purpose is unmistakable.
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 indication of when to use this tool versus alternatives, no prerequisites, no exclusions. An agent must infer from the name alone that this is the general case-conversion tool rather than fancy_text or generate_slug.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.