write_content · Open MCP Knowledgebase MCP: Risk & Policy

WHAT IT DOES

What write_content does on Open MCP Knowledgebase

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

WHY IT NEEDS A POLICY

Why write_content needs a policy

The tool creates or modifies text content in a reversible, non-persistent manner. It explicitly does not persist files to storage, so changes are transient and can be discarded. This is a classic Write operation with minimal blast radius—an AI misuse would only generate unwanted text that is not saved. No data deletion, code execution, or external state changes occur.

From the tool's definition Tool name is 'write_content' and description states it will 'Write, rewrite, condense, or polish content' and 'does not persist files'. This modifies content in-memory without side effects.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

write_content Rate-limited

write_content 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "write_content": {
      "limits": [
        {
          "counter": "write_content_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Open MCP Knowledgebase, so you can run agents against it safely.

FAQ

Questions about write_content

What does the write_content tool do? +

Write, rewrite, condense, or polish content through a configured AI Gateway model. Use this for final prose after gathering facts with retrieval tools. It does not persist files and should not be used as a citation-bearing research answer. Returns a JSON object with: - \. It is categorised as a Write tool in the Open MCP Knowledgebase MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on write_content? +

Register the Open MCP Knowledgebase MCP server in PolicyLayer and add a rule for write_content: 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 Open MCP Knowledgebase. Nothing to install.

What risk level is write_content? +

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

Can I rate-limit write_content? +

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

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

write_content is provided by the Open MCP Knowledgebase MCP server (no-product/knowledgebase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.