get_run_detail

Get full detail of a single automation run by ID

Server MCP Automation Service shukurlukerem/mcp
Category Read
Risk class Low
Parameters 00 required

What get_run_detail does on MCP Automation Service

AI agents call get_run_detail to retrieve information from MCP Automation Service without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_run_detail needs a policy

This tool queries and returns details about a previously executed automation run. It is a straightforward data retrieval operation with no side effects, no code execution, no data modification, and no destructive or financial implications. The 'get_' prefix combined with the descriptor 'detail' confirms it is a read-only operation.

From the tool's definition 'Get full detail of a single automation run by ID' - retrieves information about a past automation execution without modifying any data.

Questions about get_run_detail

What does the get_run_detail tool do? +

Get full detail of a single automation run by ID. It is categorised as a Read tool in the MCP Automation Service MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_run_detail? +

Register the MCP Automation Service MCP server in PolicyLayer and add a rule for get_run_detail: 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 MCP Automation Service. Nothing to install.

What risk level is get_run_detail? +

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

Can I rate-limit get_run_detail? +

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

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

get_run_detail is provided by the MCP Automation Service MCP server (shukurlukerem/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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