ingest_document
AI agents use ingest_document to create or update resources in BigContext MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your BigContext MCP environment.
The tool name and server description strongly imply this tool ingests (loads/stores) documents into the system. Based on the server description mentioning 'document ingestion' as a primary function, this is a Write operation — it creates or stores document data within the system. Confidence is moderate because the tool description is empty, requiring inference from name and server context alone.
From the tool's definition Tool name 'ingest_document' and server description mentions 'document ingestion' as one of 31 tools
Attacks that exploit this kind of access
ingest_document. It is categorised as a Write tool in the BigContext MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the BigContext MCP server in PolicyLayer and add a rule for ingest_document: 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 BigContext MCP. Nothing to install.
ingest_document 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 ingest_document 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 ingest_document. 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.
ingest_document is provided by the BigContext MCP server (rixmerz/bigcontext_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →