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run_audit

Start a full Webmatik growth audit of a website: SEO, performance (Core Web Vitals), AI readiness (GEO), conversion, retention, UI/UX, accessibility, and security — 70+ checks with a 0–100 Growth Score and a prioritized action plan. The audit takes 60–180 seconds; this returns an auditId immediately — poll get_audit for the result. Requires a Webmatik API key (get one at https://webmatik.ai/account, Starter/Growth plans).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesWebsite URL to audit, e.g. https://example.com
apiKeyNoWebmatik API key (wmk_...). Optional if sent as Authorization: Bearer header.

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description adequately discloses the audit's scope (70+ checks, 0–100 score), timing (60–180s), and that it returns auditId immediately. It also notes the API key requirement, but doesn't detail error handling or rate limits.

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?

The description is concise with two sentences that front-load the main purpose, then provide timing and next steps. It is well-structured with no redundancy.

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

Completeness4/5

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

Given no output schema, the description clarifies the immediate return value (auditId) and directs to poll get_audit. It covers the key aspects of the async operation, though it could detail the returned object structure more.

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 coverage is 100% and both parameters have descriptions in the schema. The description adds no new information beyond the schema, meeting the baseline of 3.

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?

The description clearly states it starts a full Webmatik growth audit covering SEO, performance, AI readiness, etc., and distinguishes from sibling tool get_audit by specifying it returns auditId immediately for polling.

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

Usage Guidelines4/5

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

The description indicates when to use this tool (to start an audit) and directs to use get_audit for results. It also mentions the prerequisite API key and where to obtain it, but doesn't explicitly exclude scenarios.

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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TDQS

A4.4/5.0
Disambiguation5/5

The two tools have clearly distinct purposes: run_audit starts a new audit, and get_audit retrieves results. There is no overlap or ambiguity.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern in snake_case (run_audit, get_audit), making the naming predictable and clear.

Tool Count4/5

With only 2 tools, the server is minimal but well-scoped for its purpose: starting and retrieving audits. While slightly below the typical 3-15 range, it covers the essential operations without unnecessary extras.

Completeness5/5

The tool set provides a complete workflow: run_audit initiates the audit and returns an ID, and get_audit allows polling for results. There are no obvious gaps, as the audit lifecycle is fully supported.

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