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agentseal-mcp-intel

Official
by getagentseal

check_file

Analyze AI config files to detect hidden security threats such as prompt injection, invisible characters, data exfiltration instructions, and jailbreak patterns.

Instructions

Analyze an AI config file for hidden security threats: prompt injection, invisible characters, data exfiltration instructions, jailbreak patterns. Supported files: .cursorrules, CLAUDE.md, .github/copilot-instructions.md, .windsurfrules, .mcp.json. Runs entirely locally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesPath to file. Examples: '.cursorrules', 'CLAUDE.md', '.github/copilot-instructions.md'
Behavior3/5

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

Since no annotations are provided, the description carries full burden. It states the tool runs locally, but does not explicitly mention read-only nature, permissions needed, or side effects. For a security analysis tool, more transparency would be beneficial.

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 two sentences with no wasted words. The first sentence concisely states purpose and threats, the second lists supported files and mentions locality. Well-structured and front-loaded.

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?

The description covers purpose, threats, and supported files. However, it does not describe the output or result format (e.g., list of threats, scores). With no output schema, this is a notable gap for a security analysis tool.

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

Parameters4/5

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

Schema coverage is 100% with a description for the 'path' parameter. The tool description adds value by listing supported file patterns (e.g., .cursorrules, CLAUDE.md), providing context beyond the schema's examples.

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 it analyzes AI config files for specific security threats, and lists supported files. It distinguishes from sibling tools like check_environment or check_server which have different purposes.

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

Usage Guidelines3/5

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

The description implies usage when dealing with AI config files, but does not explicitly state when to use vs alternatives or when not to use it. Usage guidelines are implied but not explicit.

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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