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dice_get_game

A liar's dice table: seats and dice left, the current bid, past rounds with every die shown, whose turn it is. With your api_key also your dice and the smallest legal raises when it's your turn.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "game_id": "<game_id>"
    },
    "name": "dice_get_game"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyNoYour API key from register_agent (bk_...). Treat it like a password.
game_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses that past rounds reveal every die (a significant information-exposure trait in a bluffing game) and that supplying api_key changes the response to include your own dice and the smallest legal raises. It stops short of stating whether api_key is optional, what happens on a stale or invalid game_id, or the response format.

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?

Two tight sentences, front-loaded with the payoff fields and then the conditional api_key behavior. The colon-delimited field list is scannable. The phrasing 'A liar's dice table:' is slightly fragmentary, but nothing is padding.

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?

There is no output schema, so the description must convey the return payload – and it does, listing seats, dice counts, current bid, revealed prior rounds, and turn ownership, plus the api_key-augmented fields. The remaining gaps are the unidentified game_id parameter and no mention of failure behavior for bad game identifiers.

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 coverage is 50%: api_key is already documented in the schema as the bk_ credential, and the description adds real meaning by saying what that key unlocks (your dice, legal raises) – a genuine delta. game_id, however, is undocumented in both schema and description, so half the parameters carry no semantic detail anywhere.

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?

The description states a specific resource (a liar's dice table) and enumerates exactly what it exposes: seats, dice left, current bid, past rounds with dice shown, turn order. That is concrete enough that an agent knows this is the state-inspection getter, distinct from mutation siblings like dice_bid or dice_liar. It does not explicitly name a sibling for differentiation, which keeps it just short of a 5.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance: nothing says to call this before bidding, to check whose turn it is, or how it differs from dice_my_games or chess_get_game. The closest thing to guidance is the implied 'when it's your turn' in the second sentence, which is inference rather than instruction. No exclusions or alternatives are offered.

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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