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Quantabble — AP Science Misconception Diagnostics

Server Details

Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2024-11-05
URL
ChatGPT
–
Claude
–

TDQS

A4.6/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have entirely distinct purposes: diagnose_response performs student-response analysis while get_coverage is a free catalog/metadata lookup. There is no plausible scenario where an agent confuses them, and the descriptions explicitly explain how they relate (get_coverage supplies the schema_id used by diagnose_response).

Naming Consistency5/5

Both names follow a clean verb_noun snake_case pattern (diagnose_response, get_coverage), with no casing or style drift. The verbs accurately signal action type (analysis vs. retrieval).

Tool Count4/5

Two tools is minimal, but the server has a deliberately narrow purpose—diagnose a response and look up coverage—and both tools clearly earn their place. It is slightly thin for anything beyond single-response diagnosis, but not a mismatch with the stated scope.

Completeness4/5

The core lifecycle for a stateless diagnostic service is covered: topic routing/coverage lookup plus structured diagnosis with follow-up continuity via schema_id. Minor gaps exist (no batch diagnosis, no explicit library-browsing or report-aggregation tool beyond what curriculum_anchor implies), but agents can work around these.

Available Tools

2 tools
diagnose_responseAInspect

Diagnose a student's written explanation in AP Chemistry or AP Physics 1 (or the same topics in introductory chemistry or algebra-based physics). Returns structured diagnostic data for your own tutoring: the verdict; the student's specific misconception in plain words, with error_source telling you whether it comes from our curated misconception library or was identified by the engine; where the topic sits in the AP course (unit and topic); why this reasoning loses credit on AP-style free-response scoring; what a credit-earning explanation must include; a recommended teaching move; and one probe question. A short ready-to-use tutor_response is included for simple integrations. Each response includes schema_id, the topic it matched: pass it back as schema_id on follow-up calls about the same topic to skip topic routing (faster and more consistent), and use it with curriculum_anchor to organize practice and reports by unit and topic. Use error_name to describe the error to teachers and students. Treat teaching_guidance as a recommendation, and prefer the probe question over reading reader_trap to the student verbatim. Send at least one full sentence of reasoning; not for single-word or numeric answers. Not affiliated with or endorsed by the College Board.

Inputs: student_response (required), schema_id.

get_coverageAInspect

Returns Quantabble's coverage and full topic catalog: every schema_id with its course, unit, topic number and title. Use it to check a topic is in scope and to look up the schema_id to pass to diagnose_response when you already know what the student is working on. Free; no model call.

Inputs: no named parameters.

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