extract_entities

extract_entities

Server oxidize-pdf MCP Server bzsanti/oxidize-python
Category Read
Risk class Low
Parameters 00 required

What extract_entities does on oxidize-pdf MCP Server

AI agents call extract_entities to retrieve information from oxidize-pdf MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why extract_entities needs a policy

Entity extraction from PDFs is a read operation that queries and retrieves data (entities) from documents without side effects or modifications. No description was provided, which slightly lowers confidence, but the name and context of similar read-only sibling tools (extract_text, analyze_pdf) strongly indicate this is a retrieval operation.

From the tool's definition Tool name 'extract_entities' suggests data extraction from PDFs. Sibling tools include 'extract_text' and 'analyze_pdf', which are read-only operations.

Questions about extract_entities

What does the extract_entities tool do? +

extract_entities. It is categorised as a Read tool in the oxidize-pdf MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_entities? +

Register the oxidize-pdf MCP Server MCP server in PolicyLayer and add a rule for extract_entities: 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 oxidize-pdf MCP Server. Nothing to install.

What risk level is extract_entities? +

extract_entities is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit extract_entities? +

Yes. Add a rate_limit block to the extract_entities 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.

How do I block extract_entities completely? +

Set action: deny in the PolicyLayer policy for extract_entities. 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.

What MCP server provides extract_entities? +

extract_entities is provided by the oxidize-pdf MCP Server MCP server (bzsanti/oxidize-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

extract_entities is one line of oxidize-pdf MCP Server's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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