manage_hooks

Create, inspect, and clear JavaScript runtime hooks.

SERVERJshookmcp SOURCE@jshookmcp/jshook

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-vmoranv-jshookmcp/manage-hooks.md

WHAT IT DOES

What manage_hooks does on Jshookmcp

AI agents invoke manage_hooks to trigger actions in Jshookmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why manage_hooks is rated High

Managing runtime hooks can intercept and modify JavaScript execution, enabling significant code manipulation.

From the tool's definition Create, inspect, and clear JavaScript runtime hooks

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs manage_hooks safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For manage_hooks, this is the rule to start with:

manage_hooks Rate-limited

manage_hooks stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_hooks": {
      "limits": [
        {
          "counter": "manage_hooks_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Jshookmcp, apply this rule, and every manage_hooks call is checked against it from then on.

FAQ

Questions about manage_hooks

What does the manage_hooks tool do? +

Create, inspect, and clear JavaScript runtime hooks. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on manage_hooks? +

Register the Jshook MCP server in PolicyLayer and add a rule for manage_hooks: 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 Jshookmcp. Nothing to install.

What risk level is manage_hooks? +

manage_hooks is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit manage_hooks? +

Yes. Add a rate_limit block to the manage_hooks 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.

How do I block manage_hooks completely? +

Set action: deny in the PolicyLayer policy for manage_hooks. 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.

What MCP server provides manage_hooks? +

manage_hooks is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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