Words in Context
https://words-in-context.gumballtools.com/api/mcp ↗
Description
Words-in-context vocabulary practice questions with distractor explanations.
What our measurements say
Words in Context is a remote MCP server published at words-in-context.gumballtools.com. It has been probed 8 times since 9/12/2026. It answered in 8 of them (100.0%), a near-uninterrupted record. Median response time is 2,000 ms, a delay an agent will notice. It offers a narrow, focused set of 3 tools. On the protocol side it speaks the 2026-07-28 stateless spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Strengths
- Tool names like 'check_answer' and 'generate_items' clearly indicate their purpose.
- Descriptions explain use cases (e.g., 'use this to quiz a learner') and include critical details like cost differences.
Weaknesses
- Optional parameters in 'draw_items' and 'generate_items' lack explicit required/optional indicators.
- Tool names 'draw_items' and 'generate_items' are functionally similar, risking confusion for agents.
draw_items— Optional parameters (count, difficulty, theme, seed) lack explicit required/optional clarification.generate_items— Paid tier note is buried in description; not prominently highlighted for user clarity.draw_items— Name 'draw_items' is ambiguous compared to 'generate_items' for similar functionality.
Verdict
Event narrative
Risk: low
Advice
Schema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test passed · last run:
- Cold-start: cold 171ms → warm 171ms (penalty 0ms)
Tools
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
draw_itemsDraw words-in-context vocabulary practice questions from a curated, human-written bank. Use this to quiz a learner, build a practice set, or check what a question of this type looks like. It is free, deterministic, and costs no inference. IMPORTANT: the response deliberately contains NO answer index and NO explanations. That is so you can present the questions without leaking the answers. Call `check_answer` with the item id and the chosen option to get the answer, why it fits, and why each distractor fails. Input: `count` (1-20, default 5) — an out-of-range count is REFUSED rather than clamped, so you learn the limit. `difficulty` is foundation|core|stretch. `theme` is science|humanities|social-science|literature. `seed` makes the draw reproducible: the same seed always returns the sam
countintegerdifficultystringthemestringseedinteger
check_answerCheck an answer to a practice item and get the teaching content. Returns whether the choice was correct, which option was right, why it fits the sentence specifically, why the chosen option was wrong, and the reason EVERY distractor fails. Read the distractor reasons out to the learner even when they answered correctly. Knowing why the tempting wrong answer was tempting is the part that transfers to the next question; being told "correct" teaches nothing. Input: `id` from a draw response, and `choice` as the zero-based index of the selected option.
idstringrequiredchoiceintegerrequired
generate_itemsGenerate new practice items from a passage the learner supplies — their own reading, or the material they got wrong. This is the PAID tier and it costs real money per call, unlike the curated bank. Prefer `draw_items` unless the learner specifically needs questions from their own material. `model` is a priced choice: "economy" at $0.002 per item (Fast and cheap. Good enough for straightforward vocabulary in clear prose.); "standard" at $0.008 per item (Better at writing distractors that are genuinely tempting, which is the hard part of a good practice item.). Pick economy for straightforward prose and standard when the distractors need to be genuinely tempting, which is the hard part of a good question. Limits: passage 200 characters minimum, and `count` at most 5 per call. Generation i
sourcestringrequiredcountintegermodelstringdifficultystring
Availability history
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Added to watch — era: Dual-era
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