insert_table · LLM2Docs (Unofficial) MCP: Risk & Policy

WHAT IT DOES

What insert_table does on LLM2Docs (Unofficial)

AI agents use insert_table to create or update resources in LLM2Docs (Unofficial) — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your LLM2Docs (Unofficial) environment.

WHY IT NEEDS A POLICY

Why insert_table needs a policy

Inserting a table modifies the document by adding new content, making it a Write operation rather than Read. It is reversible (tables can be deleted), so it does not qualify as Destructive. The severity is medium because unauthorized insertion of tables could disrupt document formatting and mislead readers, but the impact is limited to a single document and easily correctable.

From the tool's definition Tool description states 'Insert a table into the document', which creates new structured content within a Google Doc. The sibling tools (append_text, apply_font_formatting, apply_heading) confirm this server performs content modification operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

insert_table Rate-limited

insert_table 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": {
    "insert_table": {
      "limits": [
        {
          "counter": "insert_table_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches LLM2Docs (Unofficial), so you can run agents against it safely.

FAQ

Questions about insert_table

What does the insert_table tool do? +

Insert a table into the document. It is categorised as a Write tool in the LLM2Docs (Unofficial) MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on insert_table? +

Register the LLM2Docs (Unofficial) MCP server in PolicyLayer and add a rule for insert_table: 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 LLM2Docs (Unofficial). Nothing to install.

What risk level is insert_table? +

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

Can I rate-limit insert_table? +

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

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

insert_table is provided by the LLM2Docs (Unofficial) MCP server (nomannayeem/google-docs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.