Update an existing Linkding bookmark
AI agents use crow_linkding_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—updating an existing bookmark is a Write operation. It does not delete data (would be Destructive) or execute arbitrary code (would be Execute). The blast radius is medium because corrupting or modifying bookmarks could disrupt user workflows, but the operation is reversible (bookmarks can be edited again or restored).
From the tool's definition Tool name 'crow_linkding_update' and description 'Update an existing Linkding bookmark' indicate modification of existing data (bookmarks) in the Linkding service.
Documented attack patterns abuse exactly the kind of access crow_linkding_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_linkding_update:
{
"version": "1",
"default": "deny",
"tools": {
"crow_linkding_update": {
"limits": [
{
"counter": "crow_linkding_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} crow_linkding_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.
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Update an existing Linkding bookmark. 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_linkding_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_linkding_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_linkding_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_linkding_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_linkding_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.
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576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.