track_action

Record any significant action with before/after state, reasoning, and temporal metadata. Auto-captures session, day, week, month, quarter, year.

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/track-action.md

WHAT IT DOES

What track_action does on Nodebench

AI agents use track_action 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 track_action is rated Medium

The tool writes/records data (action logs with before/after state and temporal metadata) to a persistent store. It creates new records rather than reading existing ones, and is reversible in principle (records can be deleted). Misuse could lead to false or misleading audit trails, hence medium severity.

From the tool's definition 'Record any significant action with before/after state, reasoning, and temporal metadata'

Attacks that exploit this kind of access

RECOMMENDED RULE

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

track_action Rate-limited

track_action 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": {
    "track_action": {
      "limits": [
        {
          "counter": "track_action_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 track_action call is checked against it from then on.

FAQ

Questions about track_action

What does the track_action tool do? +

Record any significant action with before/after state, reasoning, and temporal metadata. Auto-captures session, day, week, month, quarter, year. 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 track_action? +

Register the Nodebench MCP server in PolicyLayer and add a rule for track_action: 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 track_action? +

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

Can I rate-limit track_action? +

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

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

track_action 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.

KEEP EXPLORING

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