Get PDF metadata instantly — page count, file size, document type, and whether it has tables. No extraction performed. Use this first to decide which tool to call next: convert_pdf for full text, analyze_pdf for quality audit, or extract_structured for tables.
AI agents call get_pdf_metadata to retrieve information from Pypi:pdfmux without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool explicitly performs only metadata inspection and retrieval. It makes no modifications, executes no code, deletes nothing, and involves no financial operations. The description confirms it is used for decision-making before calling other tools, making it a pure Read operation with minimal blast radius.
From the tool's definition Tool retrieves PDF metadata (page count, file size, document type, table presence) with 'No extraction performed.' This is a read-only query operation that returns document properties without modifying data or executing external code.
Attacks that exploit this kind of access
Get PDF metadata instantly — page count, file size, document type, and whether it has tables. No extraction performed. Use this first to decide which tool to call next: convert_pdf for full text, analyze_pdf for quality audit, or extract_structured for tables. It is categorised as a Read tool in the Pypi:pdfmux MCP Server, which means it retrieves data without modifying state.
Register the Pypi:pdfmux MCP server in PolicyLayer and add a rule for get_pdf_metadata: 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 Pypi:pdfmux. Nothing to install.
get_pdf_metadata 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 get_pdf_metadata 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 get_pdf_metadata. 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.
get_pdf_metadata is provided by the Pypi:pdfmux MCP server (pypi:pdfmux). 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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