extract_tables
A read tool on the MCP Framework Personal MCP server.
This record as markdown: /tools/inggerman-mcps/extract-tables.md
What extract_tables does on MCP Framework Personal
AI agents call extract_tables to retrieve information from MCP Framework Personal without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why extract_tables is rated Low
The tool appears to query or retrieve table data from documents without modifying or deleting content. Empty descriptions reduce confidence, but the naming pattern and context suggest read-access semantics. Assigned medium severity because successful misuse could expose sensitive tabular data from documents.
From the tool's definition Tool name 'extract_tables' indicates data retrieval from documents or structured content. The description is empty, limiting certainty, but sibling tools show this server handles tabular data and documents, and 'extract' is a read-only operation.
Attacks that exploit this kind of access
The rule that runs extract_tables safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For extract_tables, this is the rule to start with:
extract_tables is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every extract_tables call is checked against it from then on.
Questions about extract_tables
extract_tables is a read tool on the MCP Framework Personal MCP server. It is categorised as a Read tool in the MCP Framework Personal MCP Server, which means it retrieves data without modifying state.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for extract_tables: 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 MCP Framework Personal. Nothing to install.
extract_tables 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_tables 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_tables. 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_tables is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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