AI agents call get_hook to retrieve information from Zhook without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns existing webhook configuration data. It performs no write, delete, execute, or financial operations. The retrieval of webhook metadata and metrics is a read-only operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_hook' and description explicitly states it retrieves 'detailed configuration for a specific webhook' including 'delivery URL, metadata, and recent metrics' — purely a fetch/retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get detailed configuration for a specific webhook, including delivery URL, metadata, and recent metrics. It is categorised as a Read tool in the Zhook MCP Server, which means it retrieves data without modifying state.
Register the Zhook MCP server in PolicyLayer and add a rule for get_hook: 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 Zhook. Nothing to install.
get_hook 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 get_hook 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 get_hook. 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.
get_hook is provided by the Zhook MCP server (zhookteam/zhook-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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