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ComTom777

Action1 MCP Server

by ComTom777

deploy_updates

Destructive

Install missing updates on selected endpoints now. Optionally reboot with a 4-hour warning; returns an instance_id so you can track or cancel the deployment.

Instructions

Install updates now on the given endpoints. packages maps a package id (the id of a list_missing_updates item) to the version to install (its versions[].version). No reboot unless reboot=true (users then get a warning and 4 hours to save work). Installs can take long: by default returns at once with instance_id - check progress later with list_automation_instance_endpoint_results, cancel with stop_automation_instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
org_idYes
rebootNo
packagesYes
endpoint_idsYes
wait_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the mutation profile is covered, but the description adds real behavioral context beyond them: the reboot warning plus 4-hour save window for users, the async default that returns an instance_id at once, and how to poll or cancel. That is exactly the kind of operational detail annotations cannot express.

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 primary action leads, followed by the input contract, the reboot caveat, and the async behavior, in a tight sequence. Every clause carries distinct, load-bearing information with no filler.

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?

For a complex async mutation with no output schema, the description covers return behavior (instance_id), polling, and cancellation, which is most of what an agent needs. The gaps are the unexplained `wait_seconds` and `org_id`, which slightly reduce 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 description coverage is 0%, so the description must compensate. It explains the tricky nested `packages` mapping (id of a list_missing_updates item -> versions[].version) and the `reboot` flag, but never mentions `wait_seconds` (whose default 0 is only obliquely implied by 'returns at once') or `org_id`. Partial compensation only.

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?

States a specific verb+resource ('Install updates now on the given endpoints') and situates it in the workflow by naming the sibling that supplies inputs (list_missing_updates) and the siblings that handle progress/cancel (list_automation_instance_endpoint_results, stop_automation_instance). An agent can distinguish it from all list_* siblings immediately.

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

Usage Guidelines5/5

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

Explicitly ties use to list_missing_updates output and documents the reboot decision ('No reboot unless reboot=true'). It also names the exact follow-up tools and their conditions (check progress with list_automation_instance_endpoint_results, cancel with stop_automation_instance), leaving nothing to inference.

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