resources_configure_runtime
Run resources.configure-runtime through the Appaloft application operation catalog. Shared with CLI and HTTP/API.
This record as markdown: /tools/appaloft-mcp/resources-configure-runtime.md
What resources_configure_runtime does on Appaloft
AI agents use resources_configure_runtime to create or update resources in Appaloft, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Appaloft environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
services | array | — | |
resourceId | string | Yes | |
idempotencyKey | string | — | |
runtimeProfile | object | Yes |
Parameters from the server's own tool schema.
Why resources_configure_runtime is rated Medium
An AI agent can call resources_configure_runtime faster than any human can review: one bad instruction and it creates or modifies resources in Appaloft by the hundred, each call as confident as the last.
Risk signalsAccepts file system path (runtimeProfile.healthCheck.http.path) · Accepts URL/endpoint input (runtimeProfile.healthCheck.http.host) · High parameter count (38 properties)
Attacks that exploit this kind of access
The rule that runs resources_configure_runtime 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_configure_runtime, this is the rule to start with:
resources_configure_runtime stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Appaloft, apply this rule, and every resources_configure_runtime call is checked against it from then on.
Questions about resources_configure_runtime
Run resources.configure-runtime through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Write tool in the Appaloft MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
resources_configure_runtime accepts 4 parameters: services, resourceId, idempotencyKey, runtimeProfile. Required: resourceId, runtimeProfile. The full parameter table on this page comes from the server's own tool schema.
Register the Appaloft MCP server in PolicyLayer and add a rule for resources_configure_runtime: 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.
resources_configure_runtime is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the resources_configure_runtime 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.
Set action: deny in the PolicyLayer policy for resources_configure_runtime. 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.
resources_configure_runtime 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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