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list_imposter_commit_detections

Detect GitHub Actions pinned to commit SHAs that do not match any legitimate tag or branch of that action's repo, a strong indicator of action-tampering. Results include dashboard URLs for each detection.

Instructions

List detections where a GitHub Action is pinned to a commit SHA that doesn't match any legitimate tag or branch head of that action's repo — a strong indicator of Action-tampering (e.g. a compromised tag pointing to malicious commit). Every result has a dashboard_url — when you present detections to the user you MUST include a clickable link per detection, not just the first one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerNoStepSecurity customer/tenant identifier. Optional — if omitted, falls back to STEP_SECURITY_CUSTOMER env var. Returns detections aggregated across ALL GitHub orgs installed under this tenant.
statusNoDetection status filter. Defaults to 'new'.
limitNoMax detections to return (1-200). Defaults to 50.
orgScopeNoOptional: restrict to a single GitHub org under this tenant (uses the owner-scoped endpoint instead of tenant-wide).
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 describes the purpose and output feature (dashboard_url) but does not disclose any side effects, rate limits, or authentication requirements. For a read-only list tool this is adequate but not exceptional.

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: first defines purpose, second gives critical usage instruction. No unnecessary words; every sentence adds value.

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 no output schema, the description explains that each result has a dashboard_url and that they are detections of a specific security issue. It could mention additional fields or structure, but it is sufficient for an agent to understand the tool's output.

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?

Input schema has 100% description coverage, so the schema already documents each parameter well. The description adds the dashboard_url usage note but does not enhance parameter understanding 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 lists detections of a specific type (imposter commit SHA) and ties it to a security concern (Action-tampering). It is distinct from siblings like list_detections or search_action_usage by focusing on a precise indicator.

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?

Provides explicit instruction for presenting results: must include a clickable link per detection, not just the first. However, lacks guidance on when to use this tool vs. alternatives like list_detections or check_ioc_in_baseline.

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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