set_agent_role

Apply a built-in role profile (researcher, planner, executor, reviewer, coordinator) to adjust salience weights and context budgets

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-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/danielsimonjr-memory-mcp/set-agent-role.md

WHAT IT DOES

What set_agent_role does on Enhanced Knowledge Graph Memory Server

AI agents use set_agent_role to create or update resources in Enhanced Knowledge Graph Memory Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enhanced Knowledge Graph Memory Server environment.

RISK

Why set_agent_role is rated Medium

This tool modifies agent behavior parameters (salience weights, context budgets) by applying role profiles, which is a reversible state change. It does not execute arbitrary code, delete data, or move money. The 'adjust' verb and configuration nature place it in Write rather than Execute.

From the tool's definition Tool name 'set_agent_role' and description 'Apply a built-in role profile... to adjust salience weights and context budgets' indicate modification of agent configuration state (role assignment, weight adjustment).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_agent_role safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_agent_role, this is the rule to start with:

set_agent_role Rate-limited

set_agent_role 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": {
    "set_agent_role": {
      "limits": [
        {
          "counter": "set_agent_role_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 Enhanced Knowledge Graph Memory Server, apply this rule, and every set_agent_role call is checked against it from then on.

FAQ

Questions about set_agent_role

What does the set_agent_role tool do? +

Apply a built-in role profile (researcher, planner, executor, reviewer, coordinator) to adjust salience weights and context budgets. It is categorised as a Write tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_agent_role? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for set_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 Enhanced Knowledge Graph Memory Server. Nothing to install.

What risk level is set_agent_role? +

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

Can I rate-limit set_agent_role? +

Yes. Add a rate_limit block to the set_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 set_agent_role completely? +

Set action: deny in the PolicyLayer policy for set_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 set_agent_role? +

set_agent_role is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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