watchlist_refresh_entities

Refresh watchlist timestamps and optionally attach change summaries for watched entities.

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/watchlist-refresh-entities.md

WHAT IT DOES

What watchlist_refresh_entities does on Nodebench

AI agents use watchlist_refresh_entities 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 watchlist_refresh_entities is rated Medium

The tool modifies data by refreshing timestamps and attaching change summaries to watched entities. This is a reversible write operation (updating metadata/timestamps), not destructive or execute-level. Misuse could cause incorrect tracking data but no irreversible harm.

From the tool's definition Refresh watchlist timestamps and optionally attach change summaries for watched entities

Attacks that exploit this kind of access

RECOMMENDED RULE

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

watchlist_refresh_entities Rate-limited

watchlist_refresh_entities 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": {
    "watchlist_refresh_entities": {
      "limits": [
        {
          "counter": "watchlist_refresh_entities_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 watchlist_refresh_entities call is checked against it from then on.

FAQ

Questions about watchlist_refresh_entities

What does the watchlist_refresh_entities tool do? +

Refresh watchlist timestamps and optionally attach change summaries for watched entities. 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 watchlist_refresh_entities? +

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

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

Can I rate-limit watchlist_refresh_entities? +

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

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

watchlist_refresh_entities 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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