Low Risk

chunk_workflow

必须使用此工具! 这是管理分块数据获取工作流的自动化方式!此工具会自动管理分块获取流程,确保数据完整性。必须先使用analyze_query工具存储数据。重要:必须连续调用next动作直到获取所有分块!不能中途停止! 支持自动恢复和连续执行,AI必须自动连续调用next动作直到完成。警告:获取完所有分块后,必须立即进行完整分析并输出详细报告! 防重复:此工具会自动检测重复执行并阻止!

How to control chunk_workflow ↓

AI agents call chunk_workflow to retrieve information from Grafana Mcp Analyzer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves and processes data in chunks from Grafana, which is fundamentally a Read operation. While the description uses urgent language ('must use', 'must call continuously'), the actual function is data retrieval and analysis, not data modification, deletion, or execution of arbitrary commands.

From the tool's definition Tool name is 'chunk_workflow' and description indicates it 'manages chunked data retrieval workflow' and 'ensures data integrity' through automated chunking and fetching.

Documented attack patterns abuse exactly the kind of access chunk_workflow gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Grafana Mcp Analyzer, and nothing reaches the server without passing your rules. This is the rule we recommend for chunk_workflow:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "chunk_workflow": {}
  }
}

chunk_workflow is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Grafana Mcp Analyzer — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the chunk_workflow tool do? +

必须使用此工具! 这是管理分块数据获取工作流的自动化方式!此工具会自动管理分块获取流程,确保数据完整性。必须先使用analyze_query工具存储数据。重要:必须连续调用next动作直到获取所有分块!不能中途停止! 支持自动恢复和连续执行,AI必须自动连续调用next动作直到完成。警告:获取完所有分块后,必须立即进行完整分析并输出详细报告! 防重复:此工具会自动检测重复执行并阻止!. It is categorised as a Read tool in the Grafana Mcp Analyzer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on chunk_workflow? +

Register the Grafana Mcp Analyzer MCP server in PolicyLayer and add a rule for chunk_workflow: 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 Grafana Mcp Analyzer. Nothing to install.

What risk level is chunk_workflow? +

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

Can I rate-limit chunk_workflow? +

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

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

chunk_workflow is provided by the Grafana Mcp Analyzer MCP server (sailingcoder/grafana-mcp-analyzer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Grafana Mcp Analyzer tool call.

Deterministic rules across all 6 Grafana Mcp Analyzer tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

6 Grafana Mcp Analyzer tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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