add_layer_marker

Add a marker to a layer.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 103 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/synthetic-ai-ae-mcp/add-layer-marker.md

WHAT IT DOES

What add_layer_marker does on Ae

AI agents use add_layer_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	Yes	Marker time in seconds.
`chapter`	string	—
`comment`	string	—
`compName`	string	Yes
`duration`	number	—
`layerName`	string	Yes
`timeoutMs`	number	—
`projectPath`	string	—

Parameters from the server's own tool schema.

RISK

Why add_layer_marker is rated Medium

An AI agent can call add_layer_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

RECOMMENDED RULE

The rule that runs add_layer_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 add_layer_marker, this is the rule to start with:

add_layer_marker Rate-limited

add_layer_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_layer_marker": {
      "limits": [
        {
          "counter": "add_layer_marker_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ae, apply this rule, and every add_layer_marker call is checked against it from then on.

FAQ

Questions about add_layer_marker

What does the add_layer_marker tool do? +

Add a marker to a layer. 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.

What parameters does add_layer_marker accept? +

add_layer_marker accepts 10 parameters: url, save, time, chapter, comment, compName, duration, layerName, timeoutMs, projectPath. Required: time, compName, layerName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on add_layer_marker? +

Register the Ae MCP server in PolicyLayer and add a rule for add_layer_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.

What risk level is add_layer_marker? +

add_layer_marker is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_layer_marker? +

Yes. Add a rate_limit block to the add_layer_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.

How do I block add_layer_marker completely? +

Set action: deny in the PolicyLayer policy for add_layer_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.

What MCP server provides add_layer_marker? +

add_layer_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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