Analyze an agent codebase and return a prioritized AXIS hardening plan. Requires Authorization: Bearer <api_key>; this creates a snapshot and may return auth, quota, file-limit, or validation errors. Example: pass your agent source files to see missing AGENTS.md, CLAUDE.md, and MCP config gaps. U...
AI agents call improve_my_agent_with_axis 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 source code and generates a hardening plan with recommendations—a pure information retrieval and analysis operation with no side effects. While it requires authorization and may create a snapshot internally, the external behavior is to return recommendations without modifying the user's codebase, executing commands, or triggering deployments.
From the tool's definition The tool 'Analyze an agent codebase and return a prioritized AXIS hardening plan' performs analysis and returns recommendations.
Attacks that exploit this kind of access
Analyze an agent codebase and return a prioritized AXIS hardening plan. Requires Authorization: Bearer <api_key>; this creates a snapshot and may return auth, quota, file-limit, or validation errors. Example: pass your agent source files to see missing AGENTS.md, CLAUDE.md, and MCP config gaps. Use this when you want recommendations and missing-context detection. Use analyze_files instead when you want the full artifact bundle directly. 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 improve_my_agent_with_axis: 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.
improve_my_agent_with_axis 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 improve_my_agent_with_axis 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 improve_my_agent_with_axis. 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.
improve_my_agent_with_axis 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.
Teams ship this data inside their own products. See what a licence covers →