run_coding_policy_adherence

THE RISK

High Risk

Why run_coding_policy_adherence needs a policy

This tool executes a policy evaluation against provided code, which is an operation that performs analysis and judgment based on external policy documents. While not directly modifying code or triggering deployment, it executes a defined analytical operation whose outcome depends on input parameters and external policy resources.

From the tool's definition Tool evaluates code against "repository coding policy documents" which requires analyzing and applying rules to code.

Documented attack patterns abuse exactly the kind of access run_coding_policy_adherence gives an agent:

POLICY

How to control run_coding_policy_adherence

PolicyLayer is an MCP gateway — it sits between your AI agents and Root Signals MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run_coding_policy_adherence:

policy.json

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

run_coding_policy_adherence 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.

Create a free account and register Root Signals MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Root Signals MCP Server tools

Execute run_evaluation Run a standard evaluation using a Scorable evaluator by ID Execute run_evaluation_by_name Run a standard evaluation using a Scorable evaluator by name Execute run_judge Run a judge using a Scorable judge by ID Read list_evaluators List all available evaluators from Scorable Read list_judges List all available judges from Scorable. Judge is a collection of evaluators forming LLM-a

All 6 Root Signals MCP Server tools →

Execute tools on other servers

Android Forensics ADB MCP Server adb_shell_command EMBA-MCP run_emba_scan Frida Game Hacking MCP remove_breakpoint Procmon request_elevation

Go deeper

High-risk tools in Root Signals MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about run_coding_policy_adherence

What does the run_coding_policy_adherence tool do? +

Evaluate code against repository coding policy documents using a dedicated Scorable evaluator. It is categorised as a Execute tool in the Root Signals MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_coding_policy_adherence? +

Register the Root Signals MCP Server MCP server in PolicyLayer and add a rule for run_coding_policy_adherence: 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 Root Signals MCP Server. Nothing to install.

What risk level is run_coding_policy_adherence? +

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

Can I rate-limit run_coding_policy_adherence? +

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

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

run_coding_policy_adherence is provided by the Root Signals MCP Server MCP server (root-signals/scorable-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Root Signals MCP Server tool call.

Start from Root Signals MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →