AX Audit MCP Server
Server Details
Scan any website for AI-agent readiness: 0-100 score, grade, and agent-simulation audit.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 2 tools
scan_site and run_full_audit both audit a URL and explicitly share the same AR-* check engine, so their purposes are nested rather than fully distinct. The description clarifies that run_full_audit adds agent simulation, benchmarking, and persistence, but an agent may still hesitate over which to use for a basic score.
Both names use snake_case with a verb_noun structure: run_full_audit and scan_site. The verbs differ slightly in style, but the overall convention is consistent and readable.
Two tools is thin for an audit server, especially when one is largely a superset of the other. Each tool earns some place, but the surface feels borderline for the apparent audit lifecycle.
The server can run scans and full audits, but it explicitly promises a report_id for later retrieval while providing no get_report or list_reports tool. That creates a dead end for retrieving persisted reports and for managing audit history.
Available Tools
2 toolsrun_full_auditRun full AX Audit with simulation and benchmarkAInspect
Run the full AX Audit on a URL — the same real AR-* checks as scan_site (the exact check count grows over time, so it is intentionally not pinned here), plus an agent-simulation task (e.g. "find pricing") and an industry benchmark percentile, with the result persisted server-side. Returns a report_id that can be used to retrieve the same report later without re-scanning. No authentication required.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | URL to scan, e.g. https://example.com | |
| industry | No | Industry to benchmark against, e.g. saas. Defaults to "saas". |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does so well: it discloses server-side persistence, that a report_id is returned and reusable without re-scanning, that no authentication is required, and even explains the deliberate omission of a pinned check count. These are exactly the operational facts an agent needs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the action and scope, with useful details following. The single long sentence with a nested parenthetical is dense but every clause earns its place; slightly more structure would aid scanning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter tool with no output schema and no annotations, the description covers what it does, what comes back (report_id), persistence behavior, and auth requirements. Nothing an agent needs in order to invoke it correctly is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so both parameters are already documented in the schema. The description adds conceptual context (the industry drives a benchmark percentile) but no syntax or default details beyond what the schema provides, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ("Run the full AX Audit on a URL") and immediately positions it relative to the sibling by saying it performs the same AR-* checks as scan_site plus simulation and benchmark. An agent can distinguish the two tools without inspecting schemas.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes clear this is a superset of scan_site (same checks plus simulation and benchmark), which strongly implies when to pick it. However, it never explicitly says when to use scan_site instead (e.g., cost/speed tradeoff), leaving the routing condition implicit rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
scan_siteScan site for AI-agent readinessAInspect
Run an AX Audit on a URL — scores how ready a website is for AI agents across every real AR-* check this engine runs (robots.txt AI policy, llms.txt, agent.json, JSON-LD, OpenAPI, MCP/OAuth discovery, AR-PROV provisioning, and more — the exact check count grows over time, so it is intentionally not pinned here). Returns a 0-100 score, a letter grade, and a per-check breakdown. No authentication required.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | URL to scan, e.g. https://example.com |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does disclose useful behavior: no authentication is required, scans public URL readiness, returns a score, grade, and per-check breakdown, and the check count may change over time. It does not mention rate limits, timeouts, or explicitly confirm read-only behavior, but the scan semantics are otherwise well conveyed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is front-loaded with the core action and then explains output and the dynamic check count. The long parenthetical checklist is useful but somewhat overstuffed, keeping it short of a perfect score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter scanner with no output schema, the description is mostly complete: it explains the return shape, that no auth is needed, and that check coverage evolves. It omits sibling differentiation and any operational limits, but those are secondary for this simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is a single URL parameter with 100% schema description coverage, so the schema already documents its meaning. The description only says the audit runs on a URL, not adding format or validation details beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: run an AX Audit on a URL, with scope covering AI-agent readiness checks and return values. It is clear what the tool does, but it never distinguishes itself from the sibling run_full_audit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides no explicit guidance on when to use scan_site versus run_full_audit, nor any when-not conditions. The context implies this is a URL readiness scan, but the agent is left to infer the choice between siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
run_full_audit - First observed
scan_site
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