update_proposal · Dolibarr MCP Server MCP: Risk & Policy

WHAT IT DOES

What update_proposal does on Dolibarr MCP Server

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

WHY IT NEEDS A POLICY

Why update_proposal needs a policy

This tool modifies existing proposal records by updating fields such as validity period and notes. These are reversible changes typical of Write operations—the data can be edited again or reverted without permanent loss. While proposals may have business significance (especially in a financial ERP context), the tool itself performs updates rather than financial transactions, deletions, or code execution.

From the tool's definition Tool description states 'Update proposal fields' and mentions modifying 'duree_validite' (validity period) and 'note_private' (internal comments), indicating reversible modification of data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_proposal Rate-limited

update_proposal 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": {
    "update_proposal": {
      "limits": [
        {
          "counter": "update_proposal_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 Dolibarr MCP Server, so you can run agents against it safely.

FAQ

Questions about update_proposal

What does the update_proposal tool do? +

Update proposal fields. Use duree_validite to change validity period (fin_validite is auto-calculated). Use note_private for internal comments. It is categorised as a Write tool in the Dolibarr 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 update_proposal? +

Register the Dolibarr MCP Server MCP server in PolicyLayer and add a rule for update_proposal: 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 Dolibarr MCP Server. Nothing to install.

What risk level is update_proposal? +

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

Can I rate-limit update_proposal? +

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

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

update_proposal is provided by the Dolibarr MCP Server MCP server (marioser/dolibarr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.