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compliance-aiops

gap_analysis

Identifies controls with weak or missing audit evidence, providing honest reasons and remediation steps for HIPAA, PCI-DSS, SOC 2, or GDPR frameworks.

Instructions

[READ] Controls with no/weak evidence, each with an honest reason + remediation.

States the design-vs-operating caveat: audit trails evidence operating effectiveness strongly and control design/configuration only partially.

Args: framework: hipaa / pci_dss / soc2 / gdpr. since / until: ISO timestamps bounding the period.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNo
untilNo
frameworkYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool is read-only and includes a caveat about evidence strength, but fails to discuss auth requirements, rate limits, or any side effects. The output format is only vaguely described, lacking details on pagination or structure, which is insufficient for a tool with zero annotations.

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 concise and front-loaded with the purpose and read indicator. Every sentence adds value: the overall function, the evidence caveat, and clear parameter explanations. No redundant or irrelevant content.

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

Completeness3/5

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

The tool has three parameters and no output schema. The description adequately explains the purpose and parameters, but does not detail the exact structure of the returned data (e.g., list of items with fields). Given the complexity of gap analysis, a bit more information about the output format would enhance completeness, but the current level is minimally viable.

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?

The input schema has 0% parameter description coverage, so the description must compensate. It explains that 'framework' accepts values like hipaa, pci_dss, soc2, gdpr, and that 'since'/'until' are ISO timestamps bounding the period. This adds significant meaning. However, it does not specify the exact ISO format (e.g., ISO 8601) or provide examples, preventing a perfect score.

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 clearly states it is a read operation that identifies controls with no or weak evidence, providing reasons and remediations. It distinguishes itself from sibling tools focused on audit sources, events, or bundles by specifying the gap analysis function. However, it does not explicitly differentiate from similar tools like 'coverage_summary' or 'control_evidence', so it's slightly less precise than the high standard.

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?

The description does not provide any guidance on when to use this tool versus its siblings. It mentions a caveat about audit trails vs design evidence, but this is a behavioral note, not a usage directive. There is no explicit 'when to use' or 'when not to use' information, nor any mention of alternative tools for specific scenarios.

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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