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Get a Trickl setup plan

get_started
Read-only

Start here. Without an integration, explains the ways to add Trickl (own business such as a SaaS, or a multi-seller platform) and how to choose. With one, returns a step-by-step plan for the coding agent: keys, exact API calls, webhook handling, what to store, and how to prove it works with this server's sandbox tools.

Input Schema

NameRequiredDescriptionDefault
integrationNoown_*: the user's own business gets paid (SaaS, app, course, membership); own_embedded_checkout puts checkout inside their app. platform_*: many sellers on the user's platform get paid. embedded = in-page iframe, hosted = redirect to Trickl. embed_widget: paste-in pricing widget, no backend. Omit to see the choices.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already establish that this is a read-only operation, and the description adds meaningful behavioral context: it explains that the tool either presents integration options or returns a step-by-step plan containing keys, API calls, webhook handling, storage guidance, and sandbox verification. It does not discuss error behavior or output formatting, but those are minor gaps given the read-only annotation.

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 short and front-loaded with "Start here," then efficiently covers both operating modes and the contents of the returned plan. Every sentence adds useful information without repetition.

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 a read-only, one-optional-parameter onboarding tool with no output schema, the description provides enough detail to call it correctly: it explains what happens with and without the parameter and what the resulting plan covers. Nothing critical is missing for an agent to decide when and how to invoke it.

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 value by clarifying the behavioral difference between omitting the integration parameter and supplying one. It also reinforces the meaning of the own_* versus platform_* distinction, though the schema already documents the enum in detail.

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 clear onboarding purpose: explain Trickl integration choices when no integration is supplied, or return a concrete setup plan when one is given. It distinguishes itself from sibling documentation tools by framing itself as the starting point and by describing the plan contents such as keys, API calls, webhooks, and sandbox verification.

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?

"Start here" gives explicit usage guidance, and the description clearly explains the two modes: omit the parameter to explore choices, or provide an integration to get a tailored plan. It does not explicitly name alternatives such as read_doc or search_docs, so it falls short of the highest level of when-to-use 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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