记录批处理模式的多专家回答
AI agents use record_batch_responses to create or update resources in Guru Pk — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Guru Pk environment.
This tool records (writes/stores) multi-expert responses from batch processing mode. It creates or modifies session data by persisting responses, which is a reversible write operation. No code execution, deletion, or financial activity is involved. Severity is low as it only stores debate responses within the application's session context.
From the tool's definition 记录批处理模式的多专家回答 — '记录' means 'record/log', indicating writing/storing multiple expert responses in batch mode
Documented attack patterns abuse exactly the kind of access record_batch_responses gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Guru Pk, and nothing reaches the server without passing your rules. This is the rule we recommend for record_batch_responses:
{
"version": "1",
"default": "deny",
"tools": {
"record_batch_responses": {
"limits": [
{
"counter": "record_batch_responses_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}record_batch_responses 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.
Free to start. No card required.
记录批处理模式的多专家回答. It is categorised as a Write tool in the Guru Pk MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Guru Pk MCP server in PolicyLayer and add a rule for record_batch_responses: 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 Guru Pk. Nothing to install.
record_batch_responses is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the record_batch_responses 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.
Set action: deny in the PolicyLayer policy for record_batch_responses. 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.
record_batch_responses is provided by the Guru Pk MCP server (mitsudoai/guru-pk-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Guru Pk, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
22 Guru Pk tools catalogued and risk-classified — across an index of 43,000+ MCP servers.