resources_runtime_stop

Run resources.runtime.stop through the Appaloft application operation catalog. Shared with CLI and HTTP/API.

SERVERAppaloft SOURCE@appaloft/mcp

High RISK CLASS

Category Execute

Parameters 50 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/appaloft-mcp/resources-runtime-stop.md

WHAT IT DOES

What resources_runtime_stop does on Appaloft

AI agents invoke resources_runtime_stop to trigger actions in Appaloft. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Parameter	Type	Required
`reason`	string	—
`resourceId`	string	—
`deploymentId`	string	—
`idempotencyKey`	string	—
`previewEnvironmentId`	string	—

Parameters from the server's own tool schema.

RISK

Why resources_runtime_stop is rated High

resources_runtime_stop triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs resources_runtime_stop safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Appaloft, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For resources_runtime_stop, this is the rule to start with:

resources_runtime_stop Rate-limited

resources_runtime_stop stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "resources_runtime_stop": {
      "limits": [
        {
          "counter": "resources_runtime_stop_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Appaloft, apply this rule, and every resources_runtime_stop call is checked against it from then on.

FAQ

Questions about resources_runtime_stop

What does the resources_runtime_stop tool do? +

Run resources.runtime.stop through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Execute tool in the Appaloft MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does resources_runtime_stop accept? +

resources_runtime_stop accepts 5 parameters: reason, resourceId, deploymentId, idempotencyKey, previewEnvironmentId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on resources_runtime_stop? +

Register the Appaloft MCP server in PolicyLayer and add a rule for resources_runtime_stop: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Appaloft. Nothing to install.

What risk level is resources_runtime_stop? +

resources_runtime_stop is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit resources_runtime_stop? +

Yes. Add a rate_limit block to the resources_runtime_stop rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block resources_runtime_stop completely? +

Set action: deny in the PolicyLayer policy for resources_runtime_stop. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides resources_runtime_stop? +

resources_runtime_stop is provided by the Appaloft MCP server (@appaloft/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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