create_table_in_document

Create a table in a google docs document.

SERVERMcp Google Docs SOURCEdev-ithitchhiker/mcp-google-docs

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dev-ithitchhiker-mcp-google-docs/create-table-in-document.md

WHAT IT DOES

What create_table_in_document does on Mcp Google Docs

AI agents use create_table_in_document to create or update resources in Mcp Google Docs, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Google Docs environment.

RISK

Why create_table_in_document is rated Medium

This tool creates (adds) a table structure within a Google Docs document, which is a reversible modification of document content. It does not execute arbitrary code, delete data, or move money. The severity is medium because an agent could create numerous tables or fill a document with unwanted content, but the action is reversible (tables can be deleted) and does not have cascading destructive effects.

From the tool's definition Tool name 'create_table_in_document' and description 'Create a table in a google docs document' indicate the tool creates new content in a Google Docs document.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_table_in_document safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Google Docs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_table_in_document, this is the rule to start with:

create_table_in_document Rate-limited

create_table_in_document 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": {
    "create_table_in_document": {
      "limits": [
        {
          "counter": "create_table_in_document_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Google Docs, apply this rule, and every create_table_in_document call is checked against it from then on.

FAQ

Questions about create_table_in_document

What does the create_table_in_document tool do? +

Create a table in a google docs document. It is categorised as a Write tool in the Mcp Google Docs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_table_in_document? +

Register the Mcp Google Docs MCP server in PolicyLayer and add a rule for create_table_in_document: 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 Mcp Google Docs. Nothing to install.

What risk level is create_table_in_document? +

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

Can I rate-limit create_table_in_document? +

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

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

create_table_in_document is provided by the Mcp Google Docs MCP server (dev-ithitchhiker/mcp-google-docs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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