Retrieves a list of all saved flows for a user or project
AI agents call listSavedFlows 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.
This tool performs a read-only retrieval of flow metadata. It queries and returns information about existing saved flows but does not create, modify, delete, or execute any flows. The blast radius is minimal—misuse would only expose list information the user already has access to. Classified as Read with low severity.
From the tool's definition Tool name 'listSavedFlows' and description 'Retrieves a list of all saved flows for a user or project' indicate a query operation that returns existing data without modification, creation, deletion, or execution of external operations.
Attacks that exploit this kind of access
Retrieves a list of all saved flows for a user or project. It is categorised as a Read tool in the OpenAI Web Search MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenAI Web Search MCP Server MCP server in PolicyLayer and add a rule for listSavedFlows: 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.
listSavedFlows is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the listSavedFlows 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 listSavedFlows. 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.
listSavedFlows 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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