Compute a free Purchasing Readiness Score (0-100) and gap list for a codebase without generating artifacts. No auth, no charge, no snapshot persisted. Hard caps: 25 files / 50KB per file / 1MB total. Returns score, risk_level, top gaps, frameworks detected, and which AXIS programs would close whi...
AI agents call prepare_agentic_purchasing_preview to retrieve information from AXIS iliad without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool analyzes a codebase and returns informational outputs without modifying, deleting, or creating any persistent artifacts. It has hard caps on input size (25 files, 50KB per file, 1MB total) and explicitly does not persist snapshots or perform any state-changing operations.
From the tool's definition Tool description states it 'Compute[s]' a score and returns analysis outputs (score, risk_level, top gaps, frameworks detected). Uses verbs indicating data retrieval and analysis: 'Compute', 'Returns'.
Attacks that exploit this kind of access
Compute a free Purchasing Readiness Score (0-100) and gap list for a codebase without generating artifacts. No auth, no charge, no snapshot persisted. Hard caps: 25 files / 50KB per file / 1MB total. Returns score, risk_level, top gaps, frameworks detected, and which AXIS programs would close which gaps. Use this to triage. It is categorised as a Read tool in the AXIS iliad MCP Server, which means it retrieves data without modifying state.
Register the AXIS iliad MCP server in PolicyLayer and add a rule for prepare_agentic_purchasing_preview: 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 AXIS iliad. Nothing to install.
prepare_agentic_purchasing_preview 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 prepare_agentic_purchasing_preview 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 prepare_agentic_purchasing_preview. 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.
prepare_agentic_purchasing_preview is provided by the AXIS iliad MCP server (lastmanupinc-hub/axis-iliad). 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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