js_solve_constraints

Solve opaque predicates and constant expressions in obfuscated code.

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/js-solve-constraints.md

WHAT IT DOES

What js_solve_constraints does on Jshookmcp

AI agents invoke js_solve_constraints 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 js_solve_constraints is rated High

Analyzes and evaluates expressions in obfuscated code, implying code execution or interpretation.

From the tool's definition Solve opaque predicates and constant expressions in obfuscated code

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs js_solve_constraints 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 js_solve_constraints, this is the rule to start with:

js_solve_constraints Rate-limited

js_solve_constraints 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": {
    "js_solve_constraints": {
      "limits": [
        {
          "counter": "js_solve_constraints_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 js_solve_constraints call is checked against it from then on.

FAQ

Questions about js_solve_constraints

What does the js_solve_constraints tool do? +

Solve opaque predicates and constant expressions in obfuscated code. 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 js_solve_constraints? +

Register the Jshook MCP server in PolicyLayer and add a rule for js_solve_constraints: 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 js_solve_constraints? +

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

Can I rate-limit js_solve_constraints? +

Yes. Add a rate_limit block to the js_solve_constraints 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 js_solve_constraints completely? +

Set action: deny in the PolicyLayer policy for js_solve_constraints. 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 js_solve_constraints? +

js_solve_constraints 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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