insert_table_row · LLM2Docs (Unofficial) MCP: Risk & Policy

WHAT IT DOES

What insert_table_row does on LLM2Docs (Unofficial)

AI agents use insert_table_row 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_row needs a policy

This tool modifies document structure by adding a table row. It is a Write operation because it creates/adds data reversibly without executing arbitrary code, deleting content irreversibly, or moving money. The blast radius is medium because inserting unexpected rows could corrupt document formatting or insert misleading data, but the effect is contained to a single document and is easily undoable.

From the tool's definition Tool performs 'Insert a new row into a table' which creates new data (table row) within a Google Doc in a reversible manner—rows can be deleted or modified afterward.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

insert_table_row Rate-limited

insert_table_row 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_row": {
      "limits": [
        {
          "counter": "insert_table_row_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_row

What does the insert_table_row tool do? +

Insert a new row into a table. 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_row? +

Register the LLM2Docs (Unofficial) MCP server in PolicyLayer and add a rule for insert_table_row: 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_row? +

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

Can I rate-limit insert_table_row? +

Yes. Add a rate_limit block to the insert_table_row 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_row completely? +

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

insert_table_row 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.