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azure_validate_diagnostic_settings

Validate Azure diagnostic settings compliance with NIST/CIS logging requirements, identifying coverage gaps and retention policy violations.

Instructions

NEW in v1.14.0 Validate diagnostic settings and logging compliance across Azure resources. Checks: diagnostic settings enabled, log destinations (Log Analytics, Storage, Event Hub), retention policies, critical log categories enabled (Security, Audit, Administrative), platform metrics collection, workspace connectivity. Returns: logging coverage gaps, compliance with NIST/CIS logging requirements, resource types without diagnostics, retention policy violations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscriptionIdYesAzure subscription ID
resourceGroupNoOptional: Filter by specific resource group
resourceTypeNoOptional: Filter by resource type (e.g., 'Microsoft.Network/networkSecurityGroups')
checkComplianceNoCheck compliance with NIST/CIS logging requirements. Default: true
formatNoOutput format: 'markdown' (default, human-readable) or 'json' (machine-readable)
Behavior3/5

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

With empty annotations, the description carries full burden. It describes what the tool checks and returns, but does not explicitly state that it is read-only or mention any side effects, authentication needs, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with purpose, and uses a list format for clarity. It is slightly verbose with the version note, but overall efficient.

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 provides a good summary of returns (gaps, compliance). It covers the tool's scope well, though it could detail return structure or errors.

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?

Parameter coverage in schema is 100%, so description adds little beyond listing checks. Baseline 3 is appropriate as the description does not significantly enhance parameter understanding.

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 the tool's purpose: 'Validate diagnostic settings and logging compliance across Azure resources.' It lists specific checks and returns, distinguishing it from sibling tools that focus on other Azure security aspects.

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

Usage Guidelines3/5

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

The description implies when to use this tool (e.g., to check logging compliance) but lacks explicit guidance on when not to use it or how it compares to alternatives. No siblings are mentioned.

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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