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show_unicode_names

Convert text to Unicode character names to identify and understand special characters in strings.

Instructions

Convert text to Unicode character names

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert to Unicode names
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. While 'Convert' implies a transformation operation, it doesn't specify whether this is a read-only operation, what format the output takes (e.g., list of names, concatenated string), whether there are character limits, or how it handles non-Unicode characters. The description provides minimal behavioral context beyond the basic purpose.

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 perfectly concise at just one sentence that directly states the tool's purpose with zero wasted words. It's front-loaded with the essential information and contains no unnecessary elaboration or redundancy.

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 purpose (text transformation), lack of annotations, and absence of an output schema, the description is insufficiently complete. It doesn't explain what the output looks like (e.g., format, structure), how errors are handled, or any limitations (e.g., maximum text length, character set restrictions). For a conversion tool with no structured output documentation, more descriptive context is needed.

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 input schema has 100% description coverage, with the single parameter 'text' clearly documented as 'Text to convert to Unicode names.' The description adds no additional parameter semantics beyond what the schema already provides, so it meets the baseline expectation when schema coverage is complete.

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 with a specific verb ('Convert') and resource ('text to Unicode character names'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'convert_text_to_unicode' or 'convert_text_to_binary', which could cause confusion about when to choose this specific conversion tool.

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. With multiple text conversion siblings (e.g., convert_text_to_unicode, convert_text_to_binary, convert_text_to_nato), there's no indication of what makes Unicode character names distinct or when this specific conversion is appropriate versus other text transformations.

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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