Create proposal with optional lines. Required: customer_id or socid. Use get_customer_proposals with socid for proposal queries; use create_proposal for creation instead of dolibarr_raw_api.
AI agents use create_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.
This tool creates new proposal records in the Dolibarr system, which is a reversible data modification operation. While proposals are important business documents, they can typically be modified, archived, or deleted in an ERP system, making this a Write rather than Destructive action.
From the tool's definition Tool name 'create_proposal' and description explicitly states 'Create proposal' which is a creation operation. It creates business proposal documents in Dolibarr ERP system with customer associations.
Attacks that exploit this kind of access
Create proposal with optional lines. Required: customer_id or socid. Use get_customer_proposals with socid for proposal queries; use create_proposal for creation instead of dolibarr_raw_api. 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.
Register the Dolibarr MCP Server MCP server in PolicyLayer and add a rule for create_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.
create_proposal 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 create_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.
Set action: deny in the PolicyLayer policy for create_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.
create_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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