apply_ai_metadata
Apply ONE AI metadata suggestion to the video. WARNING: This overwrites that attribute's existing value on the video and cannot be undone through the API. - Each session_id covers a single attribute, so call once per attribute you want written - Review the value with get_ai_metadata first - In sa...
This record as markdown: /tools/com-zype-mcp-server/apply-ai-metadata.md
What apply_ai_metadata does on Zype Com
AI agents use apply_ai_metadata to create or update resources in Zype Com, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Zype Com environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
confirm | boolean | — | Set to true to confirm overwriting the existing value (required in safe mode) |
video_id | string | Yes | The video ID (required) |
session_id | string | Yes | Session ID of the single attribute to apply (required) |
Parameters from the server's own tool schema.
Why apply_ai_metadata is rated Medium
An AI agent can call apply_ai_metadata faster than any human can review: one bad instruction and it creates or modifies resources in Zype Com by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs apply_ai_metadata safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Zype Com, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_ai_metadata, this is the rule to start with:
apply_ai_metadata 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 Zype Com, apply this rule, and every apply_ai_metadata call is checked against it from then on.
Questions about apply_ai_metadata
Apply ONE AI metadata suggestion to the video. WARNING: This overwrites that attribute's existing value on the video and cannot be undone through the API. - Each session_id covers a single attribute, so call once per attribute you want written - Review the value with get_ai_metadata first - In safe mode this requires confirm: true. It is categorised as a Write tool in the Zype Com MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
apply_ai_metadata accepts 3 parameters: confirm, video_id, session_id. Required: video_id, session_id. The full parameter table on this page comes from the server's own tool schema.
Register the Zype Com MCP server in PolicyLayer and add a rule for apply_ai_metadata: 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 Zype Com. Nothing to install.
apply_ai_metadata 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 apply_ai_metadata 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 apply_ai_metadata. 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.
apply_ai_metadata is provided by the Zype Com MCP server (zype/zype-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Zype Com, and thousands of servers like it.
This server
Across the catalogue