runtime_usage_inspect

Read runtime-usage.inspect through the Appaloft application operation catalog. Shared with CLI and HTTP/API.

SERVERAppaloft SOURCE@appaloft/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/appaloft-mcp/runtime-usage-inspect.md

WHAT IT DOES

What runtime_usage_inspect does on Appaloft

AI agents call runtime_usage_inspect to retrieve information from Appaloft without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why runtime_usage_inspect is rated Low

This tool retrieves and queries runtime usage metrics/data through the Appaloft application. The verb 'inspect' and explicit 'Read' designation in the description indicate it performs data retrieval only, with no side effects, modifications, or destructive operations. The blast radius is limited to information disclosure of operational metrics. Typical usage would be monitoring and observability purposes.

From the tool's definition Tool name contains 'inspect' and description explicitly states 'Read runtime-usage.inspect' indicating retrieval of runtime usage data without modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs runtime_usage_inspect 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 runtime_usage_inspect, this is the rule to start with:

runtime_usage_inspect Allowed

runtime_usage_inspect is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "runtime_usage_inspect": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about runtime_usage_inspect

What does the runtime_usage_inspect tool do? +

Read runtime-usage.inspect through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Read tool in the Appaloft MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on runtime_usage_inspect? +

Register the Appaloft MCP server in PolicyLayer and add a rule for runtime_usage_inspect: 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 runtime_usage_inspect? +

runtime_usage_inspect is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit runtime_usage_inspect? +

Yes. Add a rate_limit block to the runtime_usage_inspect 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 runtime_usage_inspect completely? +

Set action: deny in the PolicyLayer policy for runtime_usage_inspect. 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 runtime_usage_inspect? +

runtime_usage_inspect 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.

KEEP EXPLORING

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