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maket_learn

Get operational guidance for Maket MCP tools. Learn workflow, HTML composition, charts, diagrams, collections, state, review loop, and client installation from structured Markdown topics.

Instructions

When to use: first call for any agent entering Maket; source of operational guidance for using Maket MCP tools correctly.

Returns structured Markdown inside MCP text content. It teaches agents how to operate Maket: workflow, HTML composition, chartes, diagram styling, collections, living document state, review loop, and client installation. This is not the user-facing Help document opened from the Maket UI.

Actions: overview — short operating model. topics — list available topics. topic — read one topic with topic=.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoRequired for action=topic.
actionNoDefault: overview.
audienceNoDefault: agent.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.1.0
    • changedInput schema / properties / topic / enum
      Previous value: -[
      -  "overview",
      -  "workflow",
      -  "html",
      -  "chartes",
      -  "collections",
      -  "state",
      -  "review",
      -  "install",
      -  "gemini"
      -]New value: +[
      +  "overview",
      +  "workflow",
      +  "tools",
      +  "html",
      +  "chartes",
      +  "diagrams",
      +  "collections",
      +  "state",
      +  "review",
      +  "install",
      +  "gemini"
      +]
  2. Changed1 schema field changedv1.7.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. Changed1 schema field changedv1.5.0
    • changedInput schema / properties / topic / enum
      Previous value: -[
      -  "overview",
      -  "workflow",
      -  "html",
      -  "chartes",
      -  "collections",
      -  "review",
      -  "install",
      -  "gemini"
      -]New value: +[
      +  "overview",
      +  "workflow",
      +  "html",
      +  "chartes",
      +  "collections",
      +  "state",
      +  "review",
      +  "install",
      +  "gemini"
      +]
  4. First observedv0.1.0

TDQS

A4.4/5.0
Behavior3/5

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

With no annotations, the description must disclose behavior itself. It does state that it returns structured Markdown inside MCP text content and describes action behavior, but it does not explicitly say whether the tool is read-only, whether it has side effects, or whether any authentication/permissions are needed. This leaves some of the behavioral burden uncovered.

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 front-loaded with the use case and output format, then lists actions in a scannable format. Every sentence contributes operational information without redundancy or filler.

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 and three optional parameters, the description covers the essential return format and action semantics. Minor gaps remain around how the 'audience' parameter changes the response and what happens for unknown topics, but the tool is self-describing enough for an agent to invoke it correctly.

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. The description adds value by explaining the actions ('topic — read one topic with topic=<name>') and noting defaults, going beyond the raw schema enums. The 'audience' parameter is not elaborated, but it is already defined by its enum and default in the schema.

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 the resource (Maket operational guidance), what it returns (structured Markdown teaching content), and that it is the entry-point first call. It also explicitly distinguishes itself from the user-facing Help doc, so agents can tell its role apart from the sibling tools.

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?

It opens with an explicit 'When to use: first call for any agent entering Maket' and frames itself as the source for using other Maket MCP tools correctly. The 'not the user-facing Help document' line is a clear exclusion, satisfying the when/when-not requirement.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.