build_order
AI agents call build_order to retrieve information from Procurement Graph without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the server description which explicitly mentions 'build order' as a graph traversal/navigation capability, this tool most likely computes or retrieves the topological build order of artifacts in the dependency graph — a read operation. The empty description lowers confidence significantly.
From the tool's definition Tool name is 'build_order' on a server that exposes a dependency graph for navigation, impact analysis, and build order. Description is empty.
Attacks that exploit this kind of access
build_order. It is categorised as a Read tool in the Procurement Graph MCP Server, which means it retrieves data without modifying state.
Register the Procurement Graph MCP server in PolicyLayer and add a rule for build_order: 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 Procurement Graph. Nothing to install.
build_order 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 build_order 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 build_order. 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.
build_order is provided by the Procurement Graph MCP server (mfbaig35r/procurement-graph). 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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