trigger_url_ingest

Ingest a public web asset directly into the Picsha AI platform by downloading and putting it through the ingestion pipeline.

Server Picsha AI MCP Server picsha-ai/mcp-server
Category Write
Risk class Medium
Parameters 00 required

What trigger_url_ingest does on Picsha AI MCP Server

AI agents use trigger_url_ingest to create or update resources in Picsha AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Picsha AI MCP Server environment.

Why trigger_url_ingest needs a policy

This tool fetches an external URL and uploads/ingests the asset into the platform, which is a write operation (creating a new asset record). It does not delete or overwrite existing data, execute arbitrary code, or involve financial transactions. Misuse could result in ingesting unwanted or malicious content into the platform, warranting medium severity.

From the tool's definition Ingest a public web asset directly into the Picsha AI platform by downloading and putting it through the ingestion pipeline

Questions about trigger_url_ingest

What does the trigger_url_ingest tool do? +

Ingest a public web asset directly into the Picsha AI platform by downloading and putting it through the ingestion pipeline. It is categorised as a Write tool in the Picsha AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on trigger_url_ingest? +

Register the Picsha AI MCP Server MCP server in PolicyLayer and add a rule for trigger_url_ingest: 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 Picsha AI MCP Server. Nothing to install.

What risk level is trigger_url_ingest? +

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

Can I rate-limit trigger_url_ingest? +

Yes. Add a rate_limit block to the trigger_url_ingest 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 trigger_url_ingest completely? +

Set action: deny in the PolicyLayer policy for trigger_url_ingest. 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 trigger_url_ingest? +

trigger_url_ingest is provided by the Picsha AI MCP Server MCP server (picsha-ai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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