Discover the best AXIS workflow for a purchasing or compliance task. Free, no auth, and logs lightweight task metadata for intent analytics. Example: task_description=
AI agents call discover_agentic_purchasing_needs 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 is a discovery/lookup tool that recommends workflows and collects analytics. It exhibits Read characteristics: it retrieves information (recommended workflows) and records lightweight metadata for analytics purposes. While it logs data, this is passive metadata collection, not modification of user assets or systems. No code execution, deletion, financial transaction, or reversible data modification occurs.
From the tool's definition Tool 'discover_agentic_purchasing_needs' with description 'Discover the best AXIS workflow for a purchasing or compliance task.
Attacks that exploit this kind of access
Discover the best AXIS workflow for a purchasing or compliance task. Free, no auth, and logs lightweight task metadata for intent analytics. Example: task_description=. 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 discover_agentic_purchasing_needs: 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.
discover_agentic_purchasing_needs 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 discover_agentic_purchasing_needs 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 discover_agentic_purchasing_needs. 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.
discover_agentic_purchasing_needs 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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