get_parallel_status

SERVERNodebench SOURCEnodebench-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/get-parallel-status.md

WHAT IT DOES

What get_parallel_status does on Nodebench

AI agents call get_parallel_status to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_parallel_status is rated Low

This tool performs information retrieval only (Get prefix, overview/status monitoring pattern). It gathers data about system state without modifying, creating, deleting, or executing anything. The 'Anthropic pattern' note suggests it's a standard orientation/telemetry tool for agent sessions. Classified as Read with low severity since it only exposes monitoring information.

From the tool's definition Tool retrieves 'comprehensive overview' of parallel agent activity including 'active task claims, role assignments, context budget status, and recent oracle comparison results' — all observational queries with no side effects or mutations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

get_parallel_status Allowed

get_parallel_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_parallel_status": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about get_parallel_status

What does the get_parallel_status tool do? +

Get a comprehensive overview of all parallel agent activity: active task claims, role assignments, context budget status, and recent oracle comparison results. Essential for new agent sessions to orient themselves (Anthropic pattern:. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_parallel_status? +

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

get_parallel_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_parallel_status? +

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

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

get_parallel_status 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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