Uploads multiple files to the Gumloop platform in a single request
AI agents use uploadMultipleFiles to create or update resources in OpenAI Web Search MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your OpenAI Web Search MCP Server environment.
This tool creates new file objects on the Gumloop platform. While upload operations are reversible (files can be deleted), the action modifies the platform's state. The severity is medium rather than high because file uploads typically have limited blast radius unless the platform uses uploaded files for subsequent automated actions that could cause harm.
From the tool's definition Tool description states 'Uploads multiple files to the Gumloop platform', which is a create/modify operation that writes data to a remote system.
Attacks that exploit this kind of access
Uploads multiple files to the Gumloop platform in a single request. It is categorised as a Write tool in the OpenAI Web Search MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the OpenAI Web Search MCP Server MCP server in PolicyLayer and add a rule for uploadMultipleFiles: 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.
uploadMultipleFiles is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the uploadMultipleFiles 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 uploadMultipleFiles. 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.
uploadMultipleFiles 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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