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detect_encoding

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Auto-detect file encoding with confidence score and BOM detection. Use this tool first when encountering garbled text or replacement characters to determine the correct encoding before reading the file.

Instructions

Auto-detect file encoding with confidence score (0-100) and BOM detection. ALWAYS use this first when encountering garbled text or � characters. Use before read_text_file to determine the correct encoding. Parameters: path (required), mode (sample=fast default, chunked=thorough, full=entire file).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
has_bomYes
encodingYes
confidenceYes
Behavior5/5

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

Discloses output details (confidence score 0-100, BOM detection) and three modes with explanations. Adds significant behavioral context beyond annotations.

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?

Three concise sentences: purpose, usage directive, parameter summary. No wasted words and front-loaded with key information.

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

Completeness4/5

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

Covers purpose, usage order, parameter details, and output features. Could mention output schema for completeness, but sufficient for a simple tool with 2 parameters.

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

Parameters5/5

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

Describes both parameters: path as required, mode with three options (sample, chunked, full) and their semantics. Fully compensates for 0% schema description 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?

Clearly states auto-detection of file encoding with confidence and BOM. Specifies use case before read_text_file, but does not explicitly differentiate from siblings like list_encodings or convert_encoding.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to use this tool first when encountering garbled text or replacement characters, and before read_text_file. Provides clear when-to-use guidance.

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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