get_agent_role

Get the current agent

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-agent-role.md

WHAT IT DOES

What get_agent_role does on Nodebench

AI agents call get_agent_role 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_agent_role is rated Low

This tool retrieves information about the current agent's role or identity. It performs a simple query operation that returns data without creating, modifying, deleting, executing commands, or causing financial transactions. The action is read-only and has minimal security impact.

From the tool's definition Tool name 'get_agent_role' and description 'Get the current agent' indicate a retrieval operation with no modifications or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

get_agent_role Allowed

get_agent_role 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_agent_role": {}
  }
}

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_agent_role call is checked against it from then on.

FAQ

Questions about get_agent_role

What does the get_agent_role tool do? +

Get the current agent. 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_agent_role? +

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

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

Can I rate-limit get_agent_role? +

Yes. Add a rate_limit block to the get_agent_role 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_agent_role completely? +

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

get_agent_role 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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