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AIops-tools

endpoint-aiops-mcp

undo_apply

Apply a recorded undo by dispatching its inverse tool, with an optional dry-run preview.

Instructions

[WRITE][risk=medium] Apply a recorded undo by dispatching its inverse tool.

The inverse runs through its own governed tool, so its real risk tier and any approver requirement are enforced there. Pass dry_run=True to preview the inverse call without executing it. A token can only be applied once.

Args: undo_id: The undoId from undo_list (or an _undo_id in a write result). dry_run: If True, preview the inverse tool + params without running it. target: Passed through to the inverse tool when it accepts a target.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
dry_runNo
undo_idYes
Behavior4/5

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

No annotations provided, but the description discloses that the inverse tool runs through its own governed tool, enforcing risk tier and approver requirements. It also explains dry_run behavior and the single-use constraint.

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 well-structured with a title line and explanation, sentences are informative, and it is appropriately sized. Minor room for tighter wording but overall good.

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?

No output schema, so return values are not described. It covers main behavioral aspects but does not mention error cases or what happens if undo_id is invalid. Adequate but could be more complete.

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?

Schema coverage is 0%, but the description adds meaning: undo_id comes from undo_list or _undo_id, dry_run previews without executing, target passes through to inverse tool when accepted.

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 it 'applies a recorded undo by dispatching its inverse tool', specifying the action and the resource (undo). It distinguishes from siblings, especially 'undo_list'.

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 when to use: to apply an undo. It mentions dry_run for preview and that a token can only be applied once. It does not explicitly state when not to use or alternatives, but the context is clear.

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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