Medium Risk

write_sheet_data

写入飞书电子表格指定范围的数据(覆盖写入)

How to control write_sheet_data ↓

What write_sheet_data does on Personal Knowledge MCP Server

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

Medium Risk

Why write_sheet_data needs a policy

This tool modifies spreadsheet data by writing/overwriting content in specified ranges. While the operation is reversible through spreadsheet undo/version control (unlike hard deletion), the overwrite capability and potential to replace important data across a range without granular safeguards justifies 'high' severity. An agent could inadvertently corrupt or lose recent changes in a knowledge base document.

From the tool's definition Tool name 'write_sheet_data' and description '写入飞书电子表格指定范围的数据(覆盖写入)' (Write data to specified range of Feishu spreadsheet with overwrite). The term '写入' (write) and '覆盖写入' (overwrite write) explicitly indicate data modification.

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

How to control write_sheet_data

PolicyLayer is an MCP gateway — it sits between your AI agents and Personal Knowledge MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for write_sheet_data:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "write_sheet_data": {
      "limits": [
        {
          "counter": "write_sheet_data_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

write_sheet_data 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.

  1. Create a free account and register Personal Knowledge MCP Server — 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.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about write_sheet_data

What does the write_sheet_data tool do? +

写入飞书电子表格指定范围的数据(覆盖写入). It is categorised as a Write tool in the Personal Knowledge MCP 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 write_sheet_data? +

Register the Personal Knowledge MCP Server MCP server in PolicyLayer and add a rule for write_sheet_data: 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 Personal Knowledge MCP Server. Nothing to install.

What risk level is write_sheet_data? +

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

Can I rate-limit write_sheet_data? +

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

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

write_sheet_data is provided by the Personal Knowledge MCP Server MCP server (kyodule/personal-knowledge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Personal Knowledge MCP Server tool call.

Start from Personal Knowledge MCP Server, 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.

29 Personal Knowledge MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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