List proposals/quotes with filters. RECOMMENDED: Use get_customer_proposals instead when filtering by customer. Status codes: 0=draft, 1=validated/open, 2=signed/won, 3=refused/lost. Results sorted by date DESC.
AI agents call get_proposals to retrieve information from Dolibarr MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a query/list tool that retrieves existing proposal data from Dolibarr without creating, modifying, or deleting anything. It performs read-only operations on the database, making it low-severity even in the context of an ERP system. The worst-case misuse would be unauthorized data access, which is a confidentiality issue rather than an integrity or availability issue.
From the tool's definition Tool name 'get_proposals' and description 'List proposals/quotes with filters' clearly indicates a retrieval operation with no side effects. Returns filtered data only, with sorting applied server-side.
Attacks that exploit this kind of access
List proposals/quotes with filters. RECOMMENDED: Use get_customer_proposals instead when filtering by customer. Status codes: 0=draft, 1=validated/open, 2=signed/won, 3=refused/lost. Results sorted by date DESC. It is categorised as a Read tool in the Dolibarr MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dolibarr MCP Server MCP server in PolicyLayer and add a rule for get_proposals: 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.
get_proposals is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_proposals 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 get_proposals. 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.
get_proposals 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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