Medium Risk

index_document

Index a document into Elasticsearch with smart duplicate prevention and intelligent document ID generation. 💡 RECOMMENDED: Use

How to control index_document ↓

What index_document does on Agent Knowledge MCP

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

Medium Risk

Why index_document needs a policy

This tool creates or updates a document in Elasticsearch. It is a write operation (indexing new content) with duplicate prevention logic suggesting it may overwrite existing documents. No irreversible deletion is implied, making Write the appropriate category. Misuse could lead to data corruption or unintended overwrites, hence medium severity.

From the tool's definition 'Index a document into Elasticsearch with smart duplicate prevention and intelligent document ID generation'

Documented attack patterns abuse exactly the kind of access index_document gives an agent:

How to control index_document

PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Knowledge MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for index_document:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "index_document": {
      "limits": [
        {
          "counter": "index_document_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

index_document 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.

  1. Create a free account and register Agent Knowledge MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about index_document

What does the index_document tool do? +

Index a document into Elasticsearch with smart duplicate prevention and intelligent document ID generation. 💡 RECOMMENDED: Use. It is categorised as a Write tool in the Agent Knowledge MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on index_document? +

Register the Agent Knowledge MCP server in PolicyLayer and add a rule for index_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 Agent Knowledge MCP. Nothing to install.

What risk level is index_document? +

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

Can I rate-limit index_document? +

Yes. Add a rate_limit block to the index_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.

How do I block index_document completely? +

Set action: deny in the PolicyLayer policy for index_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.

What MCP server provides index_document? +

index_document is provided by the Agent Knowledge MCP server (itshare4u/agentknowledgemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agent Knowledge MCP tool call.

Start from Agent Knowledge MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

27 Agent Knowledge MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.