TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN
Creates a webhook for a Trello token to monitor a Trello model (idModel) and send notifications to a callbackURL, which must be publicly accessible and able to respond to Trello's HEAD validation request.
This record as markdown: /tools/trello/trello-add-tokens-webhooks-by-token.md
What TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN does on Trello
AI agents use TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN to create or update resources in Trello, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Trello environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
idModel | string | — | ID of the Trello model (e.g., board, list, card, member) to monitor. |
callbackURL | string | — | Publicly accessible URL for Trello to send POST notifications; must respond to an initial HEAD request for validation. |
description | string | — | Descriptive name for the webhook (0-16384 characters). |
Parameters from the server's own tool schema.
Why TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN is rated Medium
This tool creates a new webhook resource that modifies Trello's behavior and configuration state. While webhooks themselves are reversible (can be deleted), the act of 'Creates' classifies this as Write rather than Read.
From the tool's definition Tool name contains 'ADD' and description states 'Creates a webhook' — these indicate data creation/modification. A webhook is a persistent configuration change that causes Trello to send HTTP notifications to an external URL.
Attacks that exploit this kind of access
The rule that runs TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Trello, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN, this is the rule to start with:
TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN 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 Trello, apply this rule, and every TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN call is checked against it from then on.
Questions about TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN
Creates a webhook for a Trello token to monitor a Trello model (idModel) and send notifications to a callbackURL, which must be publicly accessible and able to respond to Trello's HEAD validation request. It is categorised as a Write tool in the Trello MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN accepts 3 parameters: idModel, callbackURL, description. The full parameter table on this page comes from the server's own tool schema.
Register the Trello MCP server in PolicyLayer and add a rule for TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN: 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 Trello. Nothing to install.
TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN 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 TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN 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 TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN. 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.
TRELLO_ADD_TOKENS_WEBHOOKS_BY_TOKEN is provided by the Trello MCP server (mcp-server-trello). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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