update_webhook
Change a webhook that exists: its address, method, content type, authorisation, headers, parameters. headers and params are each the WHOLE list it keeps. A password or token is never shown back.
This record as markdown: /tools/com-quintadb-mcp/update-webhook.md
What update_webhook does on QuintaDB
AI agents use update_webhook to create or update resources in QuintaDB, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your QuintaDB environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | — | |
app_id | string | Yes | Project ID (from list_projects) |
method | string | — | GET, POST, PUT, PATCH, DELETE |
params | array | — | [{name, property_id (a field) | custom_value}] |
headers | array | — | [{name, value}] |
auth_type | string | — | none, basic, bearer |
webhook_id | string | Yes | From list_webhooks |
basic_login | string | — | |
bearer_token | string | — | |
content_type | string | — | json, form_data, form_urlencoded |
basic_password | string | — |
Parameters from the server's own tool schema.
Why update_webhook is rated Medium
An AI agent can call update_webhook faster than any human can review: one bad instruction and it creates or modifies resources in QuintaDB by the hundred, each call as confident as the last.
Risk signalsAccepts URL/endpoint input (url) · High parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs update_webhook safely
PolicyLayer is an MCP gateway: it sits between your AI agents and QuintaDB, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_webhook, this is the rule to start with:
update_webhook 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 QuintaDB, apply this rule, and every update_webhook call is checked against it from then on.
Questions about update_webhook
Change a webhook that exists: its address, method, content type, authorisation, headers, parameters. headers and params are each the WHOLE list it keeps. A password or token is never shown back. It is categorised as a Write tool in the QuintaDB MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_webhook accepts 11 parameters: url, app_id, method, params, headers, auth_type, webhook_id, basic_login, bearer_token, content_type, basic_password. Required: app_id, webhook_id. The full parameter table on this page comes from the server's own tool schema.
Register the QuintaDB MCP server in PolicyLayer and add a rule for update_webhook: 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 QuintaDB. Nothing to install.
update_webhook 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_webhook 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_webhook. 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_webhook is provided by the QuintaDB MCP server (https://quintadb.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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