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goklab

guardvibe

scan_secrets

Scan files and directories for leaked secrets, API keys, and credentials. Detects exposed .env files and missing .gitignore coverage with line numbers and remediation steps.

Instructions

Scan files and directories for leaked secrets, API keys, tokens, and credentials. Detects high-entropy strings, known API key patterns (AWS, Stripe, OpenAI, GitHub, Supabase), exposed .env files, and missing .gitignore coverage. Returns findings with exact line numbers and remediation steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesFile or directory path to scan
recursiveNoScan subdirectories
formatNoOutput format: markdown (human) or json (machine-readable for agents)markdown
Behavior4/5

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

No annotations are provided, so the description fully carries the burden. It discloses that the tool is read-only, detects specific patterns, and returns findings with line numbers and remediation steps. Could mention performance or permissions but sufficient.

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?

Two sentences, front-loaded with purpose, then specifics. No unnecessary words, and structure is clear and efficient.

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

Completeness5/5

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

Despite no output schema, the description explains the result includes findings with line numbers and remediation steps. The tool has 3 well-documented parameters and no nested objects, so coverage is complete.

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 coverage is 100% with descriptions, so baseline 3. The description does not add meaning beyond the schema for parameters, only reinforces the detection scope.

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 states 'Scan files and directories for leaked secrets...' with specific patterns like AWS, Stripe, OpenAI, etc., clearly distinguishing it from general scanning siblings like scan_file or scan_directory.

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?

It clearly indicates when to use (detecting secrets, API keys), but does not explicitly state when not to use or provide alternatives, though the sibling list implies specialization.

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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