Learning Assistant MCP Server

explainConcept

Explains programming concepts in simple terms with practical examples. Choose experience level and language to understand any coding topic clearly.

Instructions

Explains a programming concept in simple, beginner-friendly terms with examples

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "concept": "<concept>"
    },
    "name": "explainConcept"
  }
}

Input Schema

Name	Required	Description
`level`	No	The complexity level of the explanation
`concept`	Yes	The programming concept to explain (e.g., "closures", "async/await", "REST API")
`language`	No	Programming language context (e.g., "JavaScript", "Python")

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Aug 10, 2026

TDQS

A3.7/5.0

Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that examples are included and the tone is beginner-friendly, but does not mention that the 'level' or 'language' parameters affect the output, nor describe the return format. This is some behavioral context but not comprehensive.

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?

A single sentence of 9 words that immediately communicates purpose and a key feature (examples). It is front-loaded, with no filler or redundancy.

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 simple text-generation tool, the description covers the core function and hints at output with 'with examples'. However, it omits that 'level' and 'language' parameters influence the response, and the 'beginner-friendly' wording undersells the full range of levels supported by the schema, creating a minor completeness 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%, with each parameter (concept, level, language) having a clear description. The tool description does not add additional semantic meaning beyond the schema, so the baseline score of 3 applies.

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 uses a specific verb ('Explains') and resource ('programming concept') with qualifiers ('simple, beginner-friendly terms with examples') that clearly define the tool's scope. This distinguishes it from sibling 'explainThisCode', which focuses on code rather than concepts.

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

Usage Guidelines3/5

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

The phrase 'beginner-friendly terms' implies use for simplified explanations, but there is no explicit guidance on when to use this tool over alternatives like 'explainThisCode' or 'compareApproaches'. No exclusions or alternative suggestions are provided.

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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