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Title Case Converter

TitleCaseConverter
Read-only

Title Case Converter: Title Case Converter formats text strings into specific editorial style guidelines and capitalization standards. Send raw headline text and a chosen rule set like APA, Chicago, or AP to receive properly capitalized copy. (Cost: 1 credit)

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>",
      "style": "<style>"
    },
    "name": "TitleCaseConverter"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesThe text to convert to title case
styleYesThe case to convert the text to

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description's meaningful addition is the cost disclosure ('Cost: 1 credit'), which is genuinely useful pre-invocation context; it says nothing about handling of unknown style values or whether the original text is returned unchanged when no rules apply.

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

Conciseness3/5

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

The content is front-loaded and short, but it opens by restating the tool name twice ('Title Case Converter: Title Case Converter formats...'), which wastes the most valuable position. The remaining clauses (input, style examples, cost) each carry weight.

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 simple two-parameter text transform with a full output schema, the description covers the essentials, and it need not explain return values. However, the supported style set is presented as an open-ended 'like APA, Chicago, or AP' with no list of accepted identifiers and no statement about behavior on an unrecognized style, which is the main gap for correct invocation.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning by enumerating concrete style values (APA, Chicago, AP) where the schema offers only a single non-enumerated example ('title-case'). This materially helps an agent pick a valid style value, though it remains an open list rather than exhaustive.

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+resource ('formats text strings into specific editorial style guidelines') and names the mechanism (rule sets like APA, Chicago, AP), which is more informative than the bare name. It does not distinguish itself from near-siblings such as TextStyler, TenseConverter, or VariableNameConverter, which also transform text casing.

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

Usage Guidelines3/5

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

The 'send raw headline text and a chosen rule set' line implies the calling pattern and hints at headline-shaped input, but there is no explicit when-to-use vs when-not, and no guidance on which sibling to pick for non-editorial casing tasks. Usage is implied rather than stated.

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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