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container_audit_dockerfile

Audit Dockerfiles to identify security misconfigurations and optimization opportunities. Provide a Dockerfile path and receive actionable recommendations for stronger, more efficient container builds.

Instructions

Audit a Dockerfile for security best practices and optimization opportunities

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for Pro/Enterprise
file_pathYesPath to the Dockerfile
Behavior2/5

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

No annotations are provided, so the description carries the full burden of explaining behavior. 'Audit' implies a read-only analysis, but the description does not state whether files are modified, whether the Dockerfile is sent externally, what the output looks like, or when the api_key parameter is required. These are significant unknowns for a tool with no other metadata.

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 one tightly written sentence that immediately identifies the action and subject. It contains no filler, no repetition of schema fields, and front-loads the core purpose.

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

Completeness2/5

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

With no output schema and no annotations, the description should clarify what the audit produces, how results are returned, and how the optional api_key affects invocation. It only states the high-level intention, leaving the agent without enough information to know what a successful call looks like or what edge cases might arise.

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 description coverage is 100%, so both file_path and api_key are already documented. The description adds no extra meaning about path resolution, file format expectations, or the conditions under which api_key is needed, matching the baseline for full schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Audit a Dockerfile') and two concrete focus areas (security best practices and optimization opportunities). It clearly names the resource and what the audit covers, but it does not explicitly distinguish this from closely related sibling tools like container_security_report or iac_scan_docker.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as container_scan_compose, container_optimize_image, or container_security_report. No prerequisites, context, or exclusions are given, so the agent must rely on the tool name and generic 'audit' wording to make a selection.

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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