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Examplary MCP Server

Examplary MCP Server

by examplary-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

practiceSpaces_generateTopicFeedback

Assess progress or identify challenges for a topic in a practice space by generating targeted feedback based on topic ID and feedback type.

Instructions

Get feedback for a specific topic in a practice space.

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": {
      "id": "<id>"
    },
    "name": "practiceSpaces_generateTopicFeedback"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes
topicIdNo
feedbackTypeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.0.3

TDQS

C2.5/5.0
Behavior1/5

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

No annotations are present, and the description only says 'Get feedback,' implying a read operation. It fails to disclose any behavioral traits such as authentication requirements, rate limits, or side effects. The description adds no value beyond the basic read assumption.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short (one sentence), which is concise, but it omits essential details. While brevity is good, the lack of substance hurts usability.

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

Completeness2/5

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

Given the tool has three parameters (one required, two optional with an enum) and no output schema, the description is insufficient. It does not mention that topicId or feedbackType are likely needed, nor does it describe the return value or behavior when parameters are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the three parameters (id, topicId, feedbackType). It does not clarify the meaning of feedbackType enum values 'progress' and 'challenges', nor the role of id and topicId.

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 clearly states the action ('Get'), the resource ('feedback'), and the context ('for a specific topic in a practice space'). It sufficiently distinguishes from sibling tools like practiceSpaces_get (getting the space itself) and practiceSpaces_getProgress (overall progress).

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use it, or how it relates to sibling tools like practiceSpaces_generateTopics.

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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