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Get audit status and report

get_audit
Read-onlyIdempotent

Check an audit started with start_audit: returns overall status, per-step progress (scan → viewports → screenshots → agent → excel → publish), and — once complete — a severity summary plus short-lived download URLs for the report (JSON) and the Excel workbook. Poll every ~15s while status is pending/running. Only the account that started an audit can read it. Free with a WebAbility account.

Input Schema

NameRequiredDescriptionDefault
idYesThe audit id returned by start_audit
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.

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: -[
      -  "id",
      -  "context",
      -  "llm_model"
      -]New value: +[
      +  "id"
      +]
  3. Changed1 schema field changed
    • removedInput schema / properties / claimToken
      Removed value: -{
      -  "description": "Trial (no-account) runs only — the claimToken start_audit returned. Omit if you are logged in.",
      -  "type": "string"
      -}
  4. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, yet the description adds material behavior they don't cover: download URLs are 'short-lived', ownership gates access, polling cadence, and the tool is free with an account. These are real operational traits an agent needs, not restatement of the hints.

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

Conciseness5/5

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

A single dense paragraph that front-loads the core purpose, then return values, then polling cadence and access constraints. No filler sentences; every clause carries actionable information.

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?

With no output schema, the description fully carries the return-value burden: status, per-step progress, severity summary, and JSON/Excel download URLs. Combined with auth, cost, and polling notes, an agent has everything needed to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

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

Schema description coverage is 100% and the id field already documents 'The audit id returned by start_audit', which the description merely echoes. The description adds no format, range, or validation detail beyond the schema, so the baseline 3 applies.

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 and resource ('Check an audit started with start_audit') and enumerates exactly what is returned, including the per-step pipeline (scan → viewports → screenshots → agent → excel → publish). It explicitly ties itself to the sibling start_audit, so an agent can distinguish it from scan_page or visual_audit without opening a 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 concrete operational guidance: 'Poll every ~15s while status is pending/running', names start_audit as the prerequisite producer of the id, and states the access restriction ('Only the account that started an audit can read it'). This is when-to-use plus when-not (you can't read others' audits) in one paragraph.

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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