retrieveRunDetails

Retrieves details about a specific flow run

Server OpenAI Web Search MCP Server tiovikram/gumloop-mcp
Category Read
Risk class Low
Parameters 00 required

What retrieveRunDetails does on OpenAI Web Search MCP Server

AI agents call retrieveRunDetails to retrieve information from OpenAI Web Search MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why retrieveRunDetails needs a policy

The tool retrieves metadata about an existing flow run. This is a pure read operation with no side effects, modification, deletion, or execution of code/commands. It has minimal blast radius—at worst, an AI agent could retrieve details about unintended flow runs, but this does not damage data or trigger actions.

From the tool's definition Tool name 'retrieveRunDetails' and description 'Retrieves details about a specific flow run' indicate a query operation that fetches information without modifying or executing anything.

Questions about retrieveRunDetails

What does the retrieveRunDetails tool do? +

Retrieves details about a specific flow run. It is categorised as a Read tool in the OpenAI Web Search MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on retrieveRunDetails? +

Register the OpenAI Web Search MCP Server MCP server in PolicyLayer and add a rule for retrieveRunDetails: 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 OpenAI Web Search MCP Server. Nothing to install.

What risk level is retrieveRunDetails? +

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

Can I rate-limit retrieveRunDetails? +

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

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

retrieveRunDetails is provided by the OpenAI Web Search MCP Server MCP server (tiovikram/gumloop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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