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Hemosoo

learning-tool-mcp

by Hemosoo

submit_response

Submit your answer to a quiz or flashcard to receive automatic grading and updated progress. For flashcards, self-report correct or incorrect.

Instructions

Record an answer to a study item. Quiz questions are graded automatically against the stored answer; flashcards are self-reported, so answer must be 'correct' or 'incorrect'. item_type is 'flashcard' or 'quiz'. Optional confidence is 'guessed', 'unsure' or 'confident'. Returns is_correct and the updated progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYes
item_idYes
item_typeYes
confidenceNo
document_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and delivers substantial behavioral disclosure: grading is automatic for quizzes while flashcards are self-reported, answers must be 'correct' or 'incorrect' for flashcards, and the tool returns is_correct plus updated progress. This adds meaningful behavioral context beyond the bare schema, though side-effect persistence and error cases are left unstated.

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?

Three lean sentences, each earning its place: purpose first, then grading behavior with the answer constraint, then parameter values plus return values. No filler or repetition of schema information.

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 5 parameters, no annotations, and 0% schema coverage, the description covers the essential details: purpose, grading behavior, answer constraints, item_type values, confidence values, and return values. Minor gaps remain (semantics of document_id/item_id, error behavior, whether confidence applies to both item types), so it is strong but not fully exhaustive.

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 description coverage is 0%, so the description must compensate, and it does: it enumerates valid item_type values ('flashcard' or 'quiz'), the answer constraint for flashcards, and the three confidence values ('guessed', 'unsure', 'confident'). document_id and item_id remain implicit as identifiers, but their roles are reasonably inferable from names.

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 opens with a specific verb+resource pairing ('Record an answer to a study item') that clearly identifies the operation. It distinguishes this tool from siblings like save_flashcards and save_quiz (which create items) and get_study_items/get_due_items (which retrieve them) by framing it as the answer-submission action.

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?

The description provides clear context: use this when recording an answer to a study item, and it explains per-type behavior (quiz auto-graded vs flashcard self-reported) plus the allowed answer values for flashcards. It does not explicitly name alternatives or state when-not-to-use conditions, so it stops short of a 5.

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