record_execution_step

Record a structured execution step receipt on a live execution trace. Use this for meaningful actions like file inspection, research queries, edits, exports, or issue fixes.

SERVERNodebench SOURCEnodebench-mcp

Medium RISK CLASS

Category Write

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-homenshum-nodebench/record-execution-step.md

WHAT IT DOES

What record_execution_step does on Nodebench

AI agents use record_execution_step to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.

RISK

Why record_execution_step is rated Medium

This tool writes structured records to an execution trace (a log or audit trail). It creates new entries but does not delete data or trigger external operations directly. The blast radius is moderate: misuse could pollute audit trails or execution logs, but it is reversible in nature.

From the tool's definition 'Record a structured execution step receipt on a live execution trace' — creates/writes a log record for actions like file inspection, research queries, edits, exports, or issue fixes

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs record_execution_step safely

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

record_execution_step Rate-limited

record_execution_step 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "record_execution_step": {
      "limits": [
        {
          "counter": "record_execution_step_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about record_execution_step

What does the record_execution_step tool do? +

Record a structured execution step receipt on a live execution trace. Use this for meaningful actions like file inspection, research queries, edits, exports, or issue fixes. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on record_execution_step? +

Register the Nodebench MCP server in PolicyLayer and add a rule for record_execution_step: 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 Nodebench. Nothing to install.

What risk level is record_execution_step? +

record_execution_step is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit record_execution_step? +

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

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

record_execution_step is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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