Skip to main content
Glama
AIops-tools

container-host-aiops

by AIops-tools

undo_apply

Roll back a previous container operation by applying a recorded undo token, with optional dry-run preview to verify the inverse action before execution.

Instructions

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

The inverse runs through its own governed tool, so it is audited on the same path as any other call. 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?

With no annotations provided, the description carries the full burden. It discloses the write nature with '[WRITE][risk=medium]', mentions auditing, and notes the single-use token constraint. However, it does not detail failure modes or idempotency.

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-loads the purpose, and organizes details in a clear Args section. Every sentence adds value without redundancy.

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 description explains parameters and behavior well but omits the return value and error conditions. Given the tool's complexity (3 params, no output schema), the missing return information leaves a gap in completeness.

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?

Schema description coverage is 0%, but the description's Args section explains all three parameters: undo_id source, dry_run preview behavior, and target passthrough. This adds significant meaning beyond the schema's type definitions.

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: 'Apply a recorded undo by dispatching its inverse tool.' It specifies the action (apply) and the resource (recorded undo), distinguishing it from the sibling 'undo_list' which lists undos.

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 provides usage context such as passing dry_run=True to preview and notes that a token can only be applied once. It implicitly contrasts with undo_list but does not explicitly state when not to use or provide alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIops-tools/Container-Host-AIops'

If you have feedback or need assistance with the MCP directory API, please join our Discord server