Get or set reading status for a book (read, unread, reading)
AI agents use crow_calibreweb_reading_status 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.
Because the tool can set (modify) reading status in addition to getting it, the most severe applicable category is Write. The blast radius is low since it only affects a book's reading status metadata, which is easily reversible.
From the tool's definition 'Get or set reading status for a book (read, unread, reading)' — the tool can both read and write/modify the reading status of a book
Documented attack patterns abuse exactly the kind of access crow_calibreweb_reading_status 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_calibreweb_reading_status:
{
"version": "1",
"default": "deny",
"tools": {
"crow_calibreweb_reading_status": {
"limits": [
{
"counter": "crow_calibreweb_reading_status_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}crow_calibreweb_reading_status 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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Get or set reading status for a book (read, unread, reading). 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_calibreweb_reading_status: 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_calibreweb_reading_status 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_calibreweb_reading_status 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_calibreweb_reading_status. 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_calibreweb_reading_status 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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