Check in a document after editing using Alfresco REST API.
AI agents use checkin_document to create or update resources in Alfresco MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Alfresco MCP Server environment.
Checking in a document creates a new version in the version control system, which is a reversible write operation. It commits edits and updates the document state, but the previous version is retained in version history, making it reversible. Severity is medium because it modifies document content and version state in a content management system.
From the tool's definition Check in a document after editing using Alfresco REST API
Documented attack patterns abuse exactly the kind of access checkin_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 checkin_document:
{
"version": "1",
"default": "deny",
"tools": {
"checkin_document": {
"limits": [
{
"counter": "checkin_document_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} checkin_document stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Check in a document after editing using Alfresco REST API. It is categorised as a Write tool in the Alfresco MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Alfresco MCP Server MCP server in PolicyLayer and add a rule for checkin_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.
checkin_document 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 checkin_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 checkin_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.
checkin_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.
Free to start. No card required.
15 Alfresco MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.