execute_rma_query · Allen Brain API MCP Server MCP

WHAT IT DOES

What execute_rma_query does on Allen Brain API MCP Server

AI agents invoke execute_rma_query to trigger actions in Allen Brain API MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_rma_query needs a policy

This tool executes arbitrary RMA queries against an external API. While the primary use case appears to be data retrieval (Read), the 'generic' and 'arbitrary' nature means an agent could craft queries with side effects depending on what the Allen Brain API supports. RMA systems typically allow complex operations including potential write/delete operations.

From the tool's definition The tool name is 'execute_rma_query' and the description states it 'Executes a generic RMA (RESTful Model Access) query against the Allen Brain API.' The term 'execute' combined with 'generic' and 'arbitrary' indicates the tool runs queries with flexible…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_rma_query Rate-limited

execute_rma_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_rma_query": {
      "limits": [
        {
          "counter": "execute_rma_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Allen Brain API MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_rma_query

What does the execute_rma_query tool do? +

Executes a generic RMA (RESTful Model Access) query against the Allen Brain API. Useful for querying arbitrary data models like. It is categorised as a Execute tool in the Allen Brain API MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_rma_query? +

Register the Allen Brain API MCP Server MCP server in PolicyLayer and add a rule for execute_rma_query: 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 Allen Brain API MCP Server. Nothing to install.

What risk level is execute_rma_query? +

execute_rma_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_rma_query? +

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

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

execute_rma_query is provided by the Allen Brain API MCP Server MCP server (maflot/allenbrain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.