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webanalyticsprobd-maker

Web Analytics & Tracking MCP Server

audit_tracking_readiness

Audit tracking event payloads against GA4 or Meta CAPI standards, receive a quality score (0-100) and actionable recommendations to improve readiness.

Instructions

Audits a tracking event payload against GA4 or Meta CAPI readiness standards and returns an EMQ/Quality score (0-100) with actionable recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesEvent object payload to audit
platformYesPlatform to audit event against
Behavior3/5

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

The description discloses the return value (score 0-100, recommendations) and the read-only nature implied by 'Audits'. However, with no annotations provided, it does not explicitly state that no data is modified or whether external calls are made, leaving some behavioral aspects opaque.

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?

The description is a single, well-structured sentence that front-loads the verb 'Audits' and provides key details without unnecessary fluff. Every word contributes to the meaning, making it highly concise and readable.

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 the tool's moderate complexity with a nested payload and no output schema, the description adequately explains the output (score and recommendations) and the target platforms. It lacks details on what constitutes 'readiness', but the overall purpose and result are sufficiently clear for an agent to invoke it.

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?

Both parameters have descriptions in the schema (payload and platform), and the schema's coverage is 100%. The description adds little beyond the schema, only citing GA4/Meta CAPI readiness which aligns with the platform enum, so it does not significantly enhance parameter understanding.

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 the tool's action ('Audits a tracking event payload'), the target standards ('GA4 or Meta CAPI readiness'), and the output ('EMQ/Quality score with recommendations'). This distinguishes it from siblings like validate_datalayer_event (validation) and send_ga4_measurement_protocol_event (sending).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or comparison to sibling tools like validate_datalayer_event, leaving the agent without clear direction on selecting it.

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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