update_endpoint
Update an endpoint immediately or in its line draft. The patch is merged field-by-field. Requires edit access.
This record as markdown: /tools/dev-echorelay-management/update-endpoint.md
What update_endpoint does on EchoRelay
AI agents use update_endpoint to create or update resources in EchoRelay, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your EchoRelay environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
patch | object | Yes | Partial endpoint document — same shape as create_endpoint, every field optional. |
lineKey | string | Yes | The line key. |
commitMode | string | — | Defaults to publish. Draft writes require draftRevision. |
endpointId | string | Yes | The endpoint UUID. |
scheduledAt | string | — | Compatibility alias: stage this update then schedule its line. |
draftRevision | integer | — | Current line draft revision, required for draft writes. |
Parameters from the server's own tool schema.
Why update_endpoint is rated Medium
An AI agent can call update_endpoint faster than any human can review: one bad instruction and it creates or modifies resources in EchoRelay by the hundred, each call as confident as the last.
Risk signalsAccepts URL/endpoint input (patch.url) · Handles credentials or secrets (patch.targets[].auth) · Accepts raw HTML/template content (patch.targets[].mapping[].template) · High parameter count (57 properties)
Attacks that exploit this kind of access
The rule that runs update_endpoint safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EchoRelay, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_endpoint, this is the rule to start with:
update_endpoint 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 EchoRelay, apply this rule, and every update_endpoint call is checked against it from then on.
Questions about update_endpoint
Update an endpoint immediately or in its line draft. The patch is merged field-by-field. Requires edit access. It is categorised as a Write tool in the EchoRelay MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_endpoint accepts 6 parameters: patch, lineKey, commitMode, endpointId, scheduledAt, draftRevision. Required: patch, lineKey, endpointId. The full parameter table on this page comes from the server's own tool schema.
Register the EchoRelay MCP server in PolicyLayer and add a rule for update_endpoint: 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 EchoRelay. Nothing to install.
update_endpoint 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_endpoint 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_endpoint. 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_endpoint is provided by the EchoRelay MCP server (https://mcp.echorelay.dev). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on EchoRelay, and thousands of servers like it.
This server
Across the catalogue