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DeducePuzzles

Clue-number hint

get_hint

Use this when the user asks for a hint on today's DeducePuzzles board. Names one clue to re-read, by number only. Does not reveal a person, a seat, a floor, or a rank. Do not use for a solution or a walkthrough. Attempts are counted per conversation, not per person.

Input Schema

NameRequiredDescriptionDefault
attemptIdYesConversation id returned by get_daily_puzzle. Attempts are counted per conversation, not per person. Pass this same id on every later call in the conversation.
playerTokenNoAnonymous token returned by an earlier get_daily_puzzle. Pass it back to keep this app's streak. Omit it to start a new one. Not an account, and not a website streak. 16–64 letters, digits, _ or -.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Adds real context beyond the annotations: it discloses that calls are metered ("Attempts are counted per conversation, not per person"), which explains why readOnlyHint=false on an otherwise lookup-shaped tool — each hint consumes an attempt. It also discloses the answer's disclosure boundary (no person/seat/floor/rank). It stops short of saying what happens when attempts are exhausted or whether a hint always costs one.

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 usage trigger, then output scope, then exclusions — a sensible order with no filler. The final sentence about per-conversation attempt counting partially duplicates the attemptId schema description, which is minor redundancy rather than bloat.

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?

For a 2-parameter, annotation-covered tool with no output schema, the description covers trigger, output granularity, exclusions, and metering. Remaining gaps (attempt limits, cost per call, behavior on exhaustion) are modest but would matter to an agent managing a limited hint budget.

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 attemptId and playerToken are already fully documented, including the per-conversation counting rule. The description's mention of attempt counting restates the schema rather than adding syntax, format, or edge-case guidance. Baseline 3 is appropriate.

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?

Names a specific verb and resource ("get a hint" on "today's DeducePuzzles board") and pins down the exact output shape: "Names one clue to re-read, by number only." It further bounds the answer by saying it "Does not reveal a person, a seat, a floor, or a rank," so an agent knows precisely what it will and won't get back — clearly distinct from get_daily_puzzle (fetch the board) and submit_attempt (submit an answer).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit trigger ("Use this when the user asks for a hint on today's DeducePuzzles board") plus an explicit when-not ("Do not use for a solution or a walkthrough"). Both the positive and negative conditions are stated, leaving little to inference about routing.

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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