extract_table
AI agents call extract_table to retrieve information from Ultimate-MCP-Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name, 'extract_table' most likely retrieves or parses tabular data from a source without modifying it. This fits the Read category (retrieves data; no side effects).
From the tool's definition Tool name 'extract_table' suggests data extraction/retrieval with no modification. Description is empty, which reduces confidence. Sibling tools include other extract_ and analyze_ functions that are clearly non-destructive.
Attacks that exploit this kind of access
extract_table. It is categorised as a Read tool in the Ultimate-MCP-Server MCP Server, which means it retrieves data without modifying state.
Register the Ultimate-MCP-Server MCP server in PolicyLayer and add a rule for extract_table: 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 Ultimate-MCP-Server. Nothing to install.
extract_table 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 extract_table 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 extract_table. 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.
extract_table is provided by the Ultimate-MCP-Server MCP server (logos-parthenos-ai/ultimate_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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