fetch_orders

fetch_orders

Server FleetMind MCP Server mashrur-rahman-fahim/fleetmind-mcp
Category Read
Risk class Low
Parameters 00 required

What fetch_orders does on FleetMind MCP Server

AI agents call fetch_orders to retrieve information from FleetMind MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why fetch_orders needs a policy

The 'fetch' prefix is a strong indicator of a Read operation that queries and retrieves order data without side effects. No modification, deletion, or execution occurs. The sibling tools like 'count_orders' and 'create_order' support this interpretation. Confidence is slightly reduced due to the empty description, but the verb choice makes the intent clear.

From the tool's definition Tool name 'fetch_orders' uses the 'fetch' verb which retrieves data without modification. In the context of a delivery dispatch system, this retrieves order records.

Questions about fetch_orders

What does the fetch_orders tool do? +

fetch_orders. It is categorised as a Read tool in the FleetMind MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_orders? +

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

What risk level is fetch_orders? +

fetch_orders is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit fetch_orders? +

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

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

fetch_orders is provided by the FleetMind MCP Server MCP server (mashrur-rahman-fahim/fleetmind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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