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Quant Daily

Grade a drill answer

submit_drill_answer

Submit one option id for a Quant Daily drill. Returns whether it is right or wrong and how many attempts remain. A wrong guess does not name the correct option. When the round finishes, returns a Verified answer and the worked explanation. Today's shared drill also says whether this conversation solved in fewer attempts than other conversations that finished that same drill. That line is attempts used, not time; the ranking is anonymous and is not the public website leaderboard. Dev, staging, and test conversations are not in the count. A correct answer adds a link to practice the full timed set. Three attempts per conversation, not per person.

Input Schema

NameRequiredDescriptionDefault
langNoOptional. en only. hi is rejected: Quant Daily is English only.
drillYesWhich question. "daily" is today's shared drill. A practice id (practice-0, practice-1) is the one get_practice_drill returned.
optionIdYesThe option id shown with the question. Send the id, not the option text.
attemptIdYesConversation id returned by get_daily_drill on Quant Daily. Attempts are counted per conversation, not per person. Pass this same id on every later call in the conversation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already indicate a non-idempotent, non-destructive write, and the description goes well beyond them: a wrong guess does not reveal the answer, attempts are per conversation not per person, completion returns a Verified answer plus worked explanation, and a correct answer appends a practice link. It also pre-empts misreading of the comparison line (attempts, not time; anonymous; not the website leaderboard; non-prod conversations excluded).

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

Conciseness4/5

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

Front-loaded with the action and the return value, then layered outward into edge behaviors. A few clauses (the dev/staging/test exclusion, the leaderboard disclaimer) are dense but each removes a likely misinterpretation, so it is only mildly overlong.

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

Completeness5/5

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

With no output schema, the description carries the full burden of describing returns and does so thoroughly: verdict, attempts remaining, on-completion Verified answer and explanation, comparison line, and practice link. Nothing an agent needs to call this correctly or interpret the response is missing.

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%, so every parameter including the lang enum and the "send the id, not the option text" caveat is already documented in the schema. The description adds only an indirect restatement of attemptId semantics ("three attempts per conversation, not per person"), so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Submit one option id for a Quant Daily drill" is a precise verb+resource, and the description immediately states what comes back (right/wrong plus attempts remaining). It implicitly separates itself from get_daily_drill/get_drill_hint (this is the submission step) and from practice drills via the drill parameter, but never names a sibling outright.

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 drill parameter is explained as either "daily" (today's shared drill) or a practice id returned by get_practice_drill, which gives the agent a concrete routing rule between the two drill families. The attempt budget ("Three attempts per conversation") tells the agent when a further call is still possible, though there is no explicit "do not call this before/after X" instruction.

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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