Update document metadata (title, tags, correspondent, document type)
AI agents use crow_paperless_update to create or update resources in Crow — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crow environment.
This tool creates or modifies data reversibly by updating metadata fields on documents. It does not delete data (would be Destructive), execute arbitrary code (would be Execute), involve financial transactions (would be Financial), or merely read data (would be Read).
From the tool's definition Tool name contains 'update' and description explicitly states 'Update document metadata (title, tags, correspondent, document type)' — these are reversible modifications to existing document records.
Documented attack patterns abuse exactly the kind of access crow_paperless_update gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_paperless_update:
{
"version": "1",
"default": "deny",
"tools": {
"crow_paperless_update": {
"limits": [
{
"counter": "crow_paperless_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} crow_paperless_update 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.
Update document metadata (title, tags, correspondent, document type). It is categorised as a Write tool in the Crow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Crow MCP server in PolicyLayer and add a rule for crow_paperless_update: 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 Crow. Nothing to install.
crow_paperless_update 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 crow_paperless_update 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 crow_paperless_update. 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.
crow_paperless_update is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, 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.
576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.