kebab_case
Convert text to kebab-case.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to convert |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| original | Yes | ||
| kebab_case | Yes |
Convert text to kebab-case.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to convert |
| Name | Required | Description | Default |
|---|---|---|---|
| original | Yes | ||
| kebab_case | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and a minimal description, there is no disclosure of behavioral traits, such as handling of special characters, numbers, or Unicode. The agent has no insight into edge cases or limitations.
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 concise at one sentence. While it earns its place, it could include more detail without being verbose. Structure is clean and front-loaded.
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 the existence of a sibling tool 'to_kebab_case' and no output schema details, the description is insufficient. It does not explain what kebab-case is or address potential ambiguities.
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 coverage is 100% (one parameter 'text' described). The description repeats 'The text to convert' from the schema, adding no additional meaning. Baseline score of 3 is appropriate.
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 action 'Convert text to kebab-case', specifying verb and resource. However, it does not distinguish itself from the sibling tool 'to_kebab_case', which likely performs the same function.
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 like 'to_kebab_case' or other case converters. The description provides no context for appropriate usage.
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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