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goklab

guardvibe

security_workflow

Retrieves the recommended guardvibe tool sequence for your current task, specifying tools, order, and parameters to guide security scans, code reviews, vulnerability fixes, or compliance checks.

Instructions

Get the recommended GuardVibe tool sequence for your current task. Returns which tools to call, in what order, and with what parameters. Use this when unsure which tool to use. Example: security_workflow({task: 'pre_commit'})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesCurrent task: writing_code (after edits), pre_commit (before commit), pr_review (reviewing PR), new_project (initial setup), fix_vulnerabilities (fixing known issues), compliance_mapping (audit against framework), dependency_check (check deps), merge_to_main (pre-merge gate), publish_package (pre-publish checks), security_audit (comprehensive audit), incident_response (post-breach investigation), full_remediation (fix ALL security issues across all 6 sections — secrets, code, deps, config, taint, auth)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return type (tools, order, parameters) and gives an example, but does not mention side effects, permissions, or limitations. It is adequate but lacks deeper behavioral context.

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 plus an example, no unnecessary words. Front-loaded with the core purpose and usage. Highly concise.

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 the tool is an orchestrator without an output schema, the description adequately explains what it returns and when to use it. It could optionally describe the output format, but the current level is sufficient.

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?

The input schema covers the single parameter 'task' with 100% coverage, including detailed enum descriptions. The description adds a usage example but no additional semantic meaning 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 clearly states it returns a recommended tool sequence (tools, order, parameters) for the given task. This distinguishes it from sibling tools like analyze_dataflow or check_code, which are individual tools.

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 tells the agent to 'Use this when unsure which tool to use,' providing a clear usage context. It does not list alternatives or exclusions, but the guidance is sufficient.

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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