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AIops-tools

endpoint-aiops-mcp

by AIops-tools

patch_status

Check patch-level distribution across endpoints and identify endpoints behind a specified or fleet-default patch level.

Instructions

[READ] Patch-level distribution + which endpoints are behind the target level.

Args: target_patch: Desired patch level; omit to use the fleet-majority level. endpoints: Injected inventory rows; skips live collection. target: Endpoint-management target name from config; omit for the default.

Returns dict: {totalEndpoints, targetPatch, targetSource, distribution, behindCount, behind[], truncated}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
endpointsNo
target_patchNo
Behavior4/5

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

Annotated as [READ], the description clearly indicates read-only behavior. It does not mention performance or authentication, but for a read operation this is acceptable.

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, front-loaded with purpose, and structured with Args and Returns sections. Every sentence adds value without redundancy.

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?

Despite no output schema, the description specifies the return dict keys. However, it lacks explanation of 'truncated' and the structure of 'behind[]' items, leaving minor gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description fully compensates by explaining all three parameters: target_patch (desired patch level), endpoints (injected inventory), target (endpoint-management target name).

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 returns patch-level distribution and behind endpoints, using specific resource 'patch status' and action 'read'. It distinguishes from siblings like endpoint_get and drift_report.

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?

The description explains parameter behaviors (target_patch defaults to fleet-majority, endpoints skips live collection, target defaults) but does not explicitly state when to use this tool over alternatives.

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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