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case_to_path

case_to_path

Convert text strings into path-friendly formats by applying case conversion and delimiter insertion for file system compatibility.

Instructions

Convert text to path/case

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
delimiterNo
localeNo
mergeAmbiguousCharactersNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions conversion but does not explain what 'path/case' entails (e.g., how delimiters are used, what locale affects, or how ambiguous characters are handled). This leaves key behavioral traits undefined, making it inadequate for a tool with multiple parameters.

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 very concise ('Convert text to path/case'), which is efficient and front-loaded. However, it is arguably too brief, bordering on under-specified rather than optimally concise, as it omits necessary details for clarity.

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 tool's complexity (4 parameters, 0% schema coverage, no output schema, no annotations), the description is incomplete. It does not explain the conversion behavior, parameter usage, or output format, leaving significant gaps for an AI agent to understand and invoke the tool correctly.

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?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It does not mention any parameters (text, delimiter, locale, mergeAmbiguousCharacters) or their roles, failing to add meaning beyond the bare schema. This is insufficient given the four parameters involved.

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

Purpose3/5

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

The description 'Convert text to path/case' states a basic purpose (converting text to a specific case format) but is vague about what 'path/case' means. It distinguishes from siblings like 'case_to_camel' or 'case_to_snake' by implying a different output format, but lacks specificity about what makes 'path/case' unique compared to other case conversion tools in the list.

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 guidance is provided on when to use this tool versus alternatives like 'case_to_kebab' or 'case_to_snake', which appear to serve similar case conversion purposes. The description does not mention any specific contexts, prerequisites, or exclusions for 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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