Download a document from Alfresco repository.
AI agents call download_document to retrieve information from Alfresco MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Downloading a document is fundamentally a retrieval operation with no side effects on the source data. While the tool provides access to content, it neither modifies, executes, nor destroys anything. The severity is low because misuse would only expose existing data that may already have access controls; it cannot alter system state or trigger external operations.
From the tool's definition Tool name 'download_document' and description 'Download a document from Alfresco repository' indicate retrieval of existing content without modification, deletion, or execution. This is a read-only operation that queries and retrieves data from the repository.
Documented attack patterns abuse exactly the kind of access download_document gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Alfresco MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for download_document:
{
"version": "1",
"default": "deny",
"tools": {
"download_document": {}
}
}download_document is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Download a document from Alfresco repository. It is categorised as a Read tool in the Alfresco MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Alfresco MCP Server MCP server in PolicyLayer and add a rule for download_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 Alfresco MCP Server. Nothing to install.
download_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 download_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 download_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.
download_document is provided by the Alfresco MCP Server MCP server (stevereiner/python-alfresco-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Alfresco MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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15 Alfresco MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.