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convert_list

Convert lists between formats like comma-separated, line-separated, JSON, and quoted strings. Specify input and output formats to transform data for different applications.

Instructions

Convert between different list formats (comma-separated, line-separated, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listYesInput list to convert
inputFormatYesInput format
outputFormatYesOutput format
trimNoTrim whitespace from items
Behavior3/5

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

Annotations include readOnlyHint: false, indicating a non-read-only operation, which aligns with the description's 'convert' action implying transformation. The description adds context about format types (e.g., comma-separated, line-separated) beyond annotations, but doesn't disclose behavioral traits like error handling, performance, or side effects. No contradiction with annotations exists.

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: 'Convert between different list formats (comma-separated, line-separated, etc.)'. It's front-loaded with the core purpose and uses examples concisely. No unnecessary words or redundancy, making it easy to parse quickly.

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 moderate complexity (4 parameters, no output schema), the description is adequate but lacks depth. It covers the basic purpose and hints at formats, but doesn't explain output behavior, error cases, or usage context. With annotations providing some safety info (readOnlyHint: false) and schema covering parameters, it meets minimum viability but has gaps in behavioral context.

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?

Schema description coverage is 100%, with clear descriptions for all parameters (e.g., 'Input list to convert', 'Input format', 'Output format', 'Trim whitespace from items'). The description adds minimal value by hinting at format types ('comma-separated, line-separated, etc.') but doesn't elaborate on parameter usage or constraints beyond the schema. Baseline score of 3 is appropriate given high schema coverage.

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: 'Convert between different list formats (comma-separated, line-separated, etc.)'. It specifies the verb 'convert' and the resource 'list formats', with examples of formats. However, it doesn't explicitly differentiate from sibling tools like 'convert_json_to_csv' or 'convert_text_to_binary', which handle different conversion types.

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. It mentions 'comma-separated, line-separated, etc.' but doesn't specify scenarios, prerequisites, or exclusions. For example, it doesn't clarify if this is for simple list conversions versus more complex data transformations handled by siblings.

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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