update_comp_marker
Edit the properties of an existing composition marker (comment, duration, chapter, url). Identify the marker by index (1-based) or time.
This record as markdown: /tools/synthetic-ai-ae-mcp/update-comp-marker.md
What update_comp_marker does on Ae
AI agents use update_comp_marker to create or update resources in Ae, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ae environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | — | |
save | boolean | — | |
time | number | — | Time in seconds to locate the marker (used if index not given) |
index | number | — | 1-based key index of the marker |
chapter | string | — | |
comment | string | — | |
compName | string | Yes | |
duration | number | — | |
timeoutMs | number | — | |
projectPath | string | — |
Parameters from the server's own tool schema.
Why update_comp_marker is rated Medium
An AI agent can call update_comp_marker faster than any human can review: one bad instruction and it creates or modifies resources in Ae by the hundred, each call as confident as the last.
Risk signalsAccepts URL/endpoint input (url) · High parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs update_comp_marker safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ae, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_comp_marker, this is the rule to start with:
update_comp_marker 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 Ae, apply this rule, and every update_comp_marker call is checked against it from then on.
Questions about update_comp_marker
Edit the properties of an existing composition marker (comment, duration, chapter, url). Identify the marker by index (1-based) or time. It is categorised as a Write tool in the Ae MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_comp_marker accepts 10 parameters: url, save, time, index, chapter, comment, compName, duration, timeoutMs, projectPath. Required: compName. The full parameter table on this page comes from the server's own tool schema.
Register the Ae MCP server in PolicyLayer and add a rule for update_comp_marker: 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 Ae. Nothing to install.
update_comp_marker 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_comp_marker 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_comp_marker. 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_comp_marker is provided by the Ae MCP server (@synthetic-ai/ae-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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