AI agents use create_doc to create or update resources in Coda — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Coda environment.
Creating a document is a reversible write action—it adds data without deletion or irreversible modification. The tool description is empty, but context from server capabilities and sibling tools strongly suggests document creation. Severity is medium because an agent creating numerous documents could exhaust storage or create unwanted content, but the action is reversible via the sibling delete_doc tool.
From the tool's definition Tool name is 'create_doc' on a Coda document automation server that supports 'document, page, table, row, and formula operations.' The presence of sibling destructive tools (delete_doc, delete_page, delete_row, delete_rows) and read tools (get_doc_info,…
Documented attack patterns abuse exactly the kind of access create_doc gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Coda, and nothing reaches the server without passing your rules. This is the rule we recommend for create_doc:
{
"version": "1",
"default": "deny",
"tools": {
"create_doc": {
"limits": [
{
"counter": "create_doc_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_doc 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.
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create_doc. It is categorised as a Write tool in the Coda MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Coda MCP server in PolicyLayer and add a rule for create_doc: 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 Coda. Nothing to install.
create_doc is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_doc 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.
Set action: deny in the PolicyLayer policy for create_doc. 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.
create_doc is provided by the Coda MCP server (tjc-lp/coda-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Coda, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 Coda tools catalogued and risk-classified — across an index of 43,000+ MCP servers.