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webability

by io.github.snayyar00
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Start a full accessibility audit

start_audit

Kick off a FULL accessibility audit deliverable for a URL — a persistent, timestamped artifact, not an inline scan. Runs the server-side pipeline (axe + advanced checks + mobile viewports + annotated screenshots + optional agent spot-check) and produces a downloadable report and a formatted Excel workbook (Cover / Status / Barriers / ADA context sheets) stored durably. Returns immediately with an audit id; poll get_audit for progress and, when complete, download URLs. Use this when someone needs a durable artifact to attach as evidence of testing effort for a compliance officer or legal response — for iterating on code, use scan_page + verify_fix instead. Needs a free WebAbility account (sign in by connecting https://mcp.webability.io/mcp/auth, or run webability login). Set includeAgent:true to add the slower agentic manual-audit pass. To audit a local dev server, open a tunnel (webability-tunnel --port 3000) and pass its URL as url with the printed secret as tunnel_secret; keep the tunnel open until get_audit reports complete (about 5 minutes) — the pipeline loads the page several times.

Input Schema

NameRequiredDescriptionDefault
urlYesURL to audit (a public/staging URL the server can reach, or a webability-tunnel URL — not localhost)
contextNoExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_modelNoThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
includeAgentNoAlso run the agentic manual-audit pass (keyboard/focus/modal exploration). Slower. Default false.
tunnel_secretNoSecret printed by `webability-tunnel`. Required when `url` is a tunnel URL; the URL alone will be refused by the relay. Ignored otherwise.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / conversation_id
      Removed value: -{
-  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
-  "type": "string"
-}
  2. Changed1 schema field changed
    • changedInput schema / required
      Previous value: -[
-  "url",
-  "context",
-  "llm_model"
-]New value: +[
+  "url"
+]
  3. First observed

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations cover safety/open-world flags, and the description adds substantial behavior beyond them: async fire-and-return with an `id`, polling via get_audit, ~5 minute runtime, tunnel must stay open because the pipeline loads the page several times. This is exactly the operational context annotations cannot convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with what it produces, then usage routing, then setup mechanics. Dense but nearly every clause carries actionable information; the parenthetical sheet listing and pipeline component list are slightly heavier than necessary but still informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an async mutation-ish tool with no output schema, the description covers auth, async contract, polling target, runtime, tunnel requirements, and the return payload (id + download URLs). Nothing an agent needs 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.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning: includeAgent triggers a slower agentic pass, tunnel_secret is required only for tunnel URLs and otherwise ignored, and url must be server-reachable (not localhost). This enriches the two non-obvious parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Kick off') and resource ('FULL accessibility audit deliverable for a URL'), and explicitly contrasts itself with an inline scan. It also names the exact sibling alternative (scan_page + verify_fix), so an agent can distinguish it without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use ('when someone needs a durable artifact to attach as evidence for a compliance officer or legal response') and when-not ('for iterating on code, use scan_page + verify_fix instead'). Prerequisites (free WebAbility account, sign-in path) and the tunnel workflow are spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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