AI agents call pruva_get_document to retrieve information from Pruva without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a single document from the Pruva system. It is a read-only operation that queries and returns data without side effects, matching the Read category. The severity is low because retrieving documents poses minimal risk unless the documents contain highly sensitive information, but the operation itself is non-destructive and reversible.
From the tool's definition Tool name 'pruva_get_document' and description 'Get a document' indicate retrieval of existing document data with no modification or deletion.
Attacks that exploit this kind of access
Get a document. It is categorised as a Read tool in the Pruva MCP Server, which means it retrieves data without modifying state.
Register the Pruva MCP server in PolicyLayer and add a rule for pruva_get_document: 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 Pruva. Nothing to install.
pruva_get_document 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 pruva_get_document 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 pruva_get_document. 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.
pruva_get_document is provided by the Pruva MCP server (pruva-ai/pruva-mcp). 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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