AI agents use resuml_export_pdf to create or update resources in Resuml — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Resuml environment.
The tool generates/creates a PDF file from resume data. While the source data remains unchanged, the action produces a new persistent artifact (the PDF file) in storage or output context. This is reversible (the PDF can be deleted), so it is Write rather than Destructive.
From the tool's definition Tool description states 'Export a resume as PDF', which creates and generates a new file artifact (the PDF document) from existing resume data. This is a write operation that produces a tangible output.
Attacks that exploit this kind of access
Export a resume as PDF (requires Playwright to be installed). It is categorised as a Write tool in the Resuml MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Resuml MCP server in PolicyLayer and add a rule for resuml_export_pdf: 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 Resuml. Nothing to install.
resuml_export_pdf 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 resuml_export_pdf 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 resuml_export_pdf. 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.
resuml_export_pdf is provided by the Resuml MCP server (resuml). 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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