update_cloudflow_connection
Updates a CloudFlow connection immediately using connectionId and the last observed ETag (ifMatch). A stale ETag fails with 412. Other fields are optional; supplied gcpConfig/awsConfig and collaborators replace their stored values wholesale. Retain exactly one owner when replacing collaborators. ...
This record as markdown: /tools/doit/update-cloudflow-connection.md
What update_cloudflow_connection does on Doit
AI agents use update_cloudflow_connection to create or update resources in Doit, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Doit environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | New connection name. |
enabled | boolean | — | Set to false to disable the connection, true to re-enable it. |
ifMatch | string | Yes | ETag from the connection's last read or write response (etag), including quotes. Sent as If-Match; a stale version fails with 412. Wildcards are rejected. The A |
awsConfig | object | — | Full replacement AWS configuration, not a merge. At most one of gcpConfig or awsConfig may be set per request. |
gcpConfig | object | — | Full replacement GCP configuration, not a merge. At most one of gcpConfig or awsConfig may be set per request. |
description | string | — | New description for the connection. |
connectionId | string | Yes | The ID of the CloudFlow connection to update (required). |
collaborators | array | — | Full replacement list of collaborators and roles; retain exactly one owner. Omitted leaves unchanged; an empty list is invalid. |
Parameters from the server's own tool schema.
Why update_cloudflow_connection is rated Medium
An AI agent can call update_cloudflow_connection faster than any human can review: one bad instruction and it creates or modifies resources in Doit by the hundred, each call as confident as the last.
Risk signalsHigh parameter count (33 properties)
Attacks that exploit this kind of access
The rule that runs update_cloudflow_connection safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Doit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_cloudflow_connection, this is the rule to start with:
update_cloudflow_connection 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Doit, apply this rule, and every update_cloudflow_connection call is checked against it from then on.
Questions about update_cloudflow_connection
Updates a CloudFlow connection immediately using connectionId and the last observed ETag (ifMatch). A stale ETag fails with 412. Other fields are optional; supplied gcpConfig/awsConfig and collaborators replace their stored values wholesale. Retain exactly one owner when replacing collaborators. At most one provider config may be supplied. Serialize updates because the API version check is not atomic with the write. If an HTTP failure has only generic text, do not infer its status or retry automatically. It is categorised as a Write tool in the Doit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_cloudflow_connection accepts 8 parameters: name, enabled, ifMatch, awsConfig, gcpConfig, description, connectionId, collaborators. Required: ifMatch, connectionId. The full parameter table on this page comes from the server's own tool schema.
Register the Doit MCP server in PolicyLayer and add a rule for update_cloudflow_connection: 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 Doit. Nothing to install.
update_cloudflow_connection 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 update_cloudflow_connection 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 update_cloudflow_connection. 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.
update_cloudflow_connection is provided by the Doit MCP server (@doitintl/doit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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