ingest_tool

Ingest a URL, PDF, or markdown file. Returns raw_text, title, chunks indexed, and suggested wikilinks.

Server Alaya luke-kucing/alaya
Category Read
Risk class Low
Parameters 00 required

What ingest_tool does on Alaya

AI agents call ingest_tool to retrieve information from Alaya without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why ingest_tool needs a policy

This tool reads external sources (URLs, PDFs, markdown files) and extracts/processes their content for indexing. It is a retrieval and analysis operation with no side effects on the vault or source material. The severity is low because ingesting external content into a personal knowledge vault poses minimal risk even with misuse by an AI agent.

From the tool's definition Tool description states it 'ingest[s]' content and 'returns' processed information (raw_text, title, chunks, wikilinks). No modification of source or vault occurs—it retrieves and processes external content.

Questions about ingest_tool

What does the ingest_tool tool do? +

Ingest a URL, PDF, or markdown file. Returns raw_text, title, chunks indexed, and suggested wikilinks. It is categorised as a Read tool in the Alaya MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ingest_tool? +

Register the Alaya MCP server in PolicyLayer and add a rule for ingest_tool: 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 Alaya. Nothing to install.

What risk level is ingest_tool? +

ingest_tool is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ingest_tool? +

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

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

ingest_tool is provided by the Alaya MCP server (luke-kucing/alaya). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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