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inkog_audit_mcp_server

Audit any MCP server from the registry or GitHub. Analyzes tool permissions, data flow risks, and vulnerabilities to verify safety before installation.

Instructions

Security audit any MCP server from the registry or GitHub. Analyzes tool permissions, data flow risks, input validation, and potential vulnerabilities. Use this before installing any new MCP server to verify it is safe.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
server_nameNoMCP server name from registry (e.g., "github", "slack", "postgres")
repository_urlNoDirect GitHub repository URL to audit
Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions analyzing permissions, data flow risks, input validation, and vulnerabilities, which is good. However, it does not describe the output format (e.g., report, findings) or any side effects (e.g., network calls, no modifications).

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 three sentences, front-loaded with the action, then details, then usage guidance. Every sentence adds value with no wasted words.

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?

Given 2 parameters with full schema coverage and no output schema, the description is fairly complete. It covers purpose, scope, and usage. The only gap is the absence of output description, which would aid in an agent's decision-making.

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 clear descriptions and examples. The tool description reinforces the parameter duality ('from the registry or GitHub'), adding contextual value beyond the schema.

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 uses a specific verb ('audit') and resource ('MCP server') with clear scope ('from the registry or GitHub'). It differentiates from sibling tools by focusing on MCP server security, while siblings like inkog_skill_scan and inkog_audit_a2a target other areas.

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

Usage Guidelines4/5

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

Explicitly states when to use: 'before installing any new MCP server to verify it is safe.' This provides clear context but does not explicitly exclude alternatives or mention when not to use.

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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