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case_transform

Transform case (upper/lower/title/camel/snake/...).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>",
      "to": "<to>"
    },
    "name": "case_transform"
  }
}

Input Schema

NameRequiredDescriptionDefault
toYes
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and discloses nothing: it does not state that this is a pure, side-effect-free string transformation, does not say whether input is mutated or a new value returned, and gives no error behavior for an unsupported/unconvertible input.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no filler and the core verb front-loaded. The trailing '...' is the one flaw, since it hints at an open-ended mode list that the enum actually closes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a trivial two-parameter pure function with no output schema and no annotations, the description is minimally sufficient to invoke it correctly. It omits the full mode list and any return-value shape, gaps the enum partially covers but which the absence of an output schema leaves unresolved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it only partly does: it names several of the 'to' modes that the enum already enumerates, adding redundancy rather than meaning. The 'text' parameter is self-evident by name, which keeps this at a viable baseline rather than below it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Transform case') plus example modes, which is unambiguous and does not overlap with any sibling tool (token estimation, hashing, JSON, subtitle, counting). The ellipsis leaves the target set slightly open, but the intent is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no mention of alternatives; the agent must infer that this is the only text-casing utility. The absence of siblings performing similar work softens the cost, but the description provides no routing signal at all.

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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