Retrieves a list of all workbooks and their associated saved flows for a user or project
AI agents call listWorkbooks 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.
The tool performs a read-only operation that retrieves and enumerates existing workbooks and flows. There is no data creation, modification, deletion, or external action triggering. The blast radius of misuse is minimal—an attacker could enumerate available workbooks but cannot alter or destroy them.
From the tool's definition Tool name is 'listWorkbooks' and description states it 'Retrieves a list of all workbooks and their associated saved flows' — this is a query/list operation with no side effects.
Attacks that exploit this kind of access
Retrieves a list of all workbooks and their associated 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 listWorkbooks: 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.
listWorkbooks 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 listWorkbooks 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 listWorkbooks. 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.
listWorkbooks 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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