track_intent

Track a user intent that should survive context window compaction. On

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-intent.md

WHAT IT DOES

What track_intent does on Nodebench

AI agents use track_intent 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_intent is rated Medium

The tool records/persists a user intent, which is a write operation (creating or modifying stored state). It does not appear to execute code, delete data, or involve financial transactions. The description is somewhat vague, lowering confidence slightly, but 'track' implies storing/writing persistent data.

From the tool's definition Track a user intent that should survive context window compaction

Attacks that exploit this kind of access

RECOMMENDED RULE

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

track_intent Rate-limited

track_intent 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_intent": {
      "limits": [
        {
          "counter": "track_intent_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_intent call is checked against it from then on.

FAQ

Questions about track_intent

What does the track_intent tool do? +

Track a user intent that should survive context window compaction. On. 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_intent? +

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

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

Can I rate-limit track_intent? +

Yes. Add a rate_limit block to the track_intent 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_intent completely? +

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

track_intent 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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