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detect_text_encoding

Detect the character encoding of text or files to fix garbled content. Determine formats like UTF-8, ASCII, and more from raw input.

Instructions

detect text encoding — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior1/5

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

With no annotations provided, the description carries full responsibility for disclosing behavior. It only mentions cost and category, offering no information about input processing, output format, side effects, or required permissions. The tool's behavior is completely opaque.

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

Conciseness2/5

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

The description is short but not truly concise—it wastes the first sentence on a restatement of the name and only adds cost info. Essential details about purpose and usage are omitted, making this under-specification rather than effective brevity.

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

Completeness1/5

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

Given the lack of annotations and output schema, the description provides almost no useful context. It does not explain what constitutes valid input, what the output looks like, or how the tool behaves. This is completely inadequate for an agent to 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?

The schema has a single generic 'params' object with placeholder description 'Tool parameters as JSON object,' and the tool description adds zero parameter information. Even though schema coverage is 100%, the schema itself is uninformative, so the agent cannot determine what fields to provide.

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

Purpose2/5

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

The description 'detect text encoding' simply restates the tool name and adds the generic category 'Other Utilities tool.' It does not explain what the tool actually does (e.g., identify character encoding of a given text) nor differentiate it from sibling tools like detect_language or hash_text.

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?

There is no guidance on when to use this tool, what inputs are expected, or how it compares to alternatives. The description does not mention any context, prerequisites, or exclusions, leaving the agent without 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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