Skip to main content
Glama

get_spring_tutorial

Retrieve step-by-step Spring Boot tutorials by topic, difficulty level, and detail level to learn or implement specific features.

Instructions

Get step-by-step tutorials for specific Spring Boot features

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoTutorial difficulty levelbeginner
topicYesTutorial topic (e.g., 'rest-api', 'jpa', 'security', 'testing')
detail_levelNoContent detail: summary (1500 chars), medium (4000 chars), full (50000 chars)medium

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.4.1
    • changedInput schema / properties / detail_level / description
      Previous value: -"Content detail: summary (1500 chars), medium (4000 chars), full (8000 chars)"New value: +"Content detail: summary (1500 chars), medium (4000 chars), full (50000 chars)"
    • addedInput schema / properties / topic / maxLength
      Added value: +200
  2. First observedv1.2.8

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no confirmation this is a read-only lookup, no note on caching, latency, or whether results are complete or truncated at the given detail levels. 'Step-by-step' hints at the content style but not at any operational trait.

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?

A single, front-loaded sentence with no filler or redundancy. It is efficient, though its extreme brevity is part of why other dimensions are thin.

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

Completeness3/5

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

For a 3-parameter read tool with a fully documented schema, the essentials are present; the required topic and enum defaults are clear from the schema. With no output schema, though, the description should say more about what a tutorial response contains (and how detail_level affects it), leaving a genuine gap.

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 description coverage is 100%, so topic, level, and detail_level are already fully documented (including enum meanings and character budgets) in the schema. The description adds nothing parameter-specific beyond the phrase 'specific Spring Boot features', so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Get step-by-step tutorials') for a defined domain ('specific Spring Boot features'), which is clearer than a bare 'retrieve content' phrasing. However, it offers no differentiation from near-siblings such as get_spring_guide, get_all_spring_guides, or get_spring_reference, so an agent cannot tell from the text alone which source to prefer.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternative tools despite a large sibling set covering guides, references, and concepts. The agent must infer usage from the name alone.

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