get_preferences
Read After Effects preferences (section + key). Returns the stored value.
This record as markdown: /tools/synthetic-ai-ae-mcp/get-preferences.md
What get_preferences does on Ae
AI agents call get_preferences to retrieve information from Ae without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
key | string | Yes | Preference key name. |
type | string | — | string | number | boolean. Defaults to string. |
section | string | Yes | Preference section name. |
timeoutMs | number | — |
Parameters from the server's own tool schema.
Why get_preferences is rated Low
Even though get_preferences only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_preferences 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 get_preferences, this is the rule to start with:
get_preferences is read-only, so it stays allowed. 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 get_preferences call is checked against it from then on.
Questions about get_preferences
Read After Effects preferences (section + key). Returns the stored value. It is categorised as a Read tool in the Ae MCP Server, which means it retrieves data without modifying state.
get_preferences accepts 4 parameters: key, type, section, timeoutMs. Required: key, section. 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 get_preferences: 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.
get_preferences is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_preferences 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 get_preferences. 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.
get_preferences 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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