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Tracklution

scout_website

Public discovery; safe to call without auth. Detects CMS/platform hints and creates an onboarding session. Returns an onboarding_session_id and a single-use _sensitive_onboarding_session_token used by register_and_provision to link this scout to the provision. Every response includes _request_id in structuredContent. When reporting issues to Tracklution support, include this value verbatim — it correlates the call across both the MCP server and the Laravel backend logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
website_urlYesFull URL of the customer's website (http or https).
agent_clientNoWhich AI agent client is calling (cursor, claude-code, lovable, ...).
framework_hintNoOptional framework hint detected by the agent.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
fieldNo
errorsNo
statusNo
detailsNo
warningsNo
rate_limitNo
_request_idNo
http_statusNo
next_actionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and does so thoroughly: safe without auth, creates an onboarding session, returns a single-use sensitive token, and guarantees `_request_id` in every response for log correlation.

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 front-loaded with the most operationally important fact: 'Public discovery; safe to call without auth.' Every sentence earns its place, though it is slightly dense with token-lifecycle and support-correlation details.

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?

Given that an output schema exists, the description does not need to restate all return values. It covers auth posture, side effects, the follow-up tool, custom return fields, and support correlation, giving an agent enough context to call 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?

The input schema already documents all three parameters with 100% coverage, so the baseline is 3. The description adds no parameter-specific semantics beyond what the schema provides.

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 states a specific verb and resource: 'Public discovery... Detects CMS/platform hints and creates an onboarding session.' It clearly distinguishes this from sibling provisioning, verification, and session-query tools.

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?

It establishes this as the unauthenticated discovery entry point and explicitly links its output to `register_and_provision`, implying the intended call order. It does not enumerate when not to use it or name alternatives, so it stops short of full guidance.

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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