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convert_text_to_pascalcase

Transform text strings into PascalCase format by capitalizing the first letter of each word and removing spaces, useful for programming variable names and class identifiers.

Instructions

Convert text to PascalCase

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert to PascalCase
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the conversion action but doesn't describe traits like whether it handles special characters, whitespace, or edge cases (e.g., empty strings), nor does it mention error handling or output format. This leaves gaps for a mutation tool with zero annotation coverage.

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

Conciseness5/5

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

The description is a single, efficient sentence with zero waste—'Convert text to PascalCase'—front-loading the core action. It's appropriately sized for a simple tool, avoiding unnecessary elaboration.

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?

Given the tool's low complexity (one parameter, no output schema, no annotations), the description is minimally adequate but incomplete. It covers the basic purpose but lacks behavioral details (e.g., how PascalCase is defined) and usage guidelines, which are needed for full contextual understanding despite the simple schema.

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?

The schema description coverage is 100%, with the single parameter 'text' documented as 'Text to convert to PascalCase'. The description adds no additional meaning beyond this, such as examples or constraints. With high schema coverage, the baseline is 3, as the schema does the heavy lifting.

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 'Convert text to PascalCase' clearly states the verb ('convert') and resource ('text'), specifying the transformation to PascalCase. It distinguishes from siblings like convert_text_to_camelcase or convert_text_to_lowercase by naming the specific case format, though it doesn't explicitly contrast them.

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?

The description provides no guidance on when to use this tool versus alternatives like convert_text_to_camelcase or convert_text_to_uppercase. It lacks context about typical use cases, prerequisites, or exclusions, offering only the basic function without usage direction.

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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