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obfuscate_string

Protect sensitive text by converting characters to HTML entities, Unicode, or Base64 representations to prevent automated scraping and data extraction.

Instructions

Obfuscate text by replacing characters with their HTML entities or other representations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to obfuscate
methodNoObfuscation method
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the action ('obfuscate') and methods but doesn't specify if this is a read-only or destructive operation, what permissions are needed, or any side effects like rate limits. This is inadequate for a tool that modifies text.

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 that front-loads the core action ('obfuscate text') and adds necessary detail without waste. Every word earns its place, making it highly concise and well-structured.

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 complexity of a text transformation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the output looks like (e.g., transformed string), error conditions, or behavioral traits, leaving significant gaps for an AI agent.

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%, so the schema already documents both parameters ('text' and 'method' with enum). The description adds minimal value by implying the purpose of obfuscation but doesn't explain parameter interactions or usage details beyond what the schema provides.

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 verb ('obfuscate') and resource ('text'), specifying the action and target. It distinguishes from siblings like 'encode_html' or 'convert_text_to_binary' by focusing on obfuscation rather than encoding or conversion. However, it doesn't explicitly differentiate from 'encode_html_entities', which is a specific method mentioned in the enum.

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?

No guidance is provided on when to use this tool versus alternatives like 'encode_html_entities' or 'convert_text_to_unicode', which overlap with its methods. The description mentions 'other representations' but doesn't clarify context or exclusions, leaving usage ambiguous.

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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