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analyze_content_security

Detect sensitive information in content using AI-powered analysis with optional pattern learning for enhanced security.

Instructions

Analyze content for sensitive information using AI-powered detection with optional memory integration for security pattern learning

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesContent to analyze for sensitive information
contentTypeNoType of content being analyzedgeneral
enhancedModeNoEnable advanced prompting features
userDefinedPatternsNoUser-defined sensitive patterns to detect
knowledgeEnhancementNoEnable Generated Knowledge Prompting for security and privacy expertise
enableMemoryIntegrationNoEnable memory entity storage for security pattern learning and institutional knowledge building
Behavior2/5

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

No annotations provided, so description carries full burden. It mentions optional memory integration but does not disclose side effects like state changes, privacy implications, or what the AI detection entails.

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

Conciseness4/5

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

Single sentence front-loaded with the main action, no wasted words. Could benefit from more detail but is appropriately concise.

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?

Tool has 6 parameters and no output schema, yet description omits what the tool returns (e.g., report or score) and does not explain complex features like knowledge enhancement or memory integration.

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 baseline is 3. The description adds little beyond the schema, only vaguely referencing 'AI-powered detection' and 'memory integration' which map to parameters.

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

Purpose5/5

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

The description clearly states the verb 'analyze' and resource 'content for sensitive information', distinguishing it from sibling tools like 'apply_basic_content_masking' that handle masking.

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 indication of when to use this tool versus alternatives (e.g., 'apply_basic_content_masking' or 'configure_custom_patterns'), nor any prerequisites or context for choosing it.

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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