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text_case_converter

Transform any text into multiple case formats including UPPERCASE, lowercase, Title Case, camelCase, snake_case, kebab-case, and more.

Instructions

Menu ID: case_converter. Text Case Converter. Convert text between different cases online: UPPERCASE, lowercase, Title Case, camelCase, snake_case, kebab-case, and many more formatting options. Use describe_tool with tool_id "case_converter" for full page guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only states that the tool converts text and lists case types, but does not mention whether it is read-only, requires authentication, has rate limits, or what happens if input is invalid. The lack of behavioral context is a significant gap.

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?

The description is relatively short and front-loaded with the core functionality. The inclusion of 'Menu ID: case_converter' is somewhat redundant but not overly verbose. The directive to use describe_tool for full guidance is efficient, though it reflects incompleteness rather than conciseness.

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

Completeness2/5

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

Given the open-ended input schema and lack of output schema, the description is insufficient. It omits how to invoke the tool, what parameters are expected, and what the output looks like. The reference to describe_tool suggests that complete documentation exists elsewhere, but this definition alone is not contextually complete.

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

Parameters2/5

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

The input schema is an open object with no defined properties, and the parameter count is zero. The description lists case types but does not explain how to specify the input text or the desired output case. It defers to describe_tool for full guidance, indicating that critical parameter semantics are missing from this definition.

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?

The description clearly states the tool's purpose: converting text between different cases. It lists several examples (UPPERCASE, lowercase, Title Case, etc.), which effectively conveys the core functionality. However, the mention of 'Menu ID' and the directive to use describe_tool for full guidance slightly detracts from direct clarity, as it implies the description is incomplete.

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 description implies the tool is for online text case conversion, but it does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or prerequisites. The instruction to use describe_tool suggests additional guidance is available elsewhere, but within the definition itself, usage context is minimal.

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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