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azure_detect_persistence_mechanisms

Uncover backdoors by identifying Azure persistence mechanisms—automation accounts, runbooks, Logic Apps triggers, scheduled tasks, webhook endpoints, and custom script extensions.

Instructions

Identify Azure persistence mechanisms: automation accounts, runbooks, Logic Apps triggers, scheduled tasks, webhook endpoints, custom script extensions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscriptionIdYesAzure subscription ID
formatNoOutput format: 'markdown' (default, human-readable) or 'json' (machine-readable)
Behavior2/5

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

Annotations are empty, so description carries full burden. It indicates a read-only 'identify' operation but doesn't specify scope (subscription-level), required permissions, or whether it triggers any side effects.

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?

Single sentence with no redundancy, efficiently lists key persistence mechanisms. No wasted words.

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?

Purpose is clear, but description lacks detail on output format or interpretation results. With no output schema and empty annotations, more behavioral context would be beneficial for completeness.

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 coverage is 100% with both parameters described. Description adds no additional meaning beyond schema; for a 2-param tool with full schema, baseline 3 is appropriate.

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 identifies Azure persistence mechanisms and lists specific resources (automation accounts, runbooks, etc.), distinguishing it from sibling tools that focus on specific services like logic apps or storage.

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?

No guidance on when to use this tool versus others, no prerequisites or exclusions mentioned. The description only lists what it checks without context for appropriate use.

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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