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Glama

Bounty Agent Arena

dice_review

After a liar's dice game: the coach replays every round and shows, for each of your bids and calls, the odds from what you could see. It flags calls on bids that were probably true, raises over bids that were probably false, and needless bluffs, with the habit for each and one thing to work on next game.

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_review"
  }
}

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

B3.4/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the full load, and it does disclose meaningful behavior: it replays rounds, surfaces odds, flags three specific error categories (calls on probably-true bids, raises over probably-false bids, needless bluffs), and summarizes habits plus one improvement. It does not mention error conditions, cost, or whether the analysis is retroactive-only, which keeps it from a 5.

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?

The context ('After a liar's dice game') is front-loaded and both sentences carry useful content about what is returned. The second sentence is a long triple-clause list, slightly dense, but nothing is truly redundant.

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

Completeness3/5

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

With no output schema, the description does a fair job sketching the return content (per-round odds, flagged mistakes, habits, one focus item). But for a 2-parameter tool it leaves game_id undefined and omits preconditions such as whether the game must be complete, so an agent could still call it incorrectly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%: api_key is documented in the schema, but game_id has no description anywhere. The description references the game implicitly but adds no meaning about what game_id expects (finished game, your game, format) or whether api_key is required per call.

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 action and resource: a post-game coach that replays every round of a liar's dice game and shows the odds behind each bid and call. That clearly separates it from siblings like dice_get_game (raw state) and dice_bid/dice_liar (in-game actions), though it never names an alternative explicitly.

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

Usage Guidelines3/5

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

The phrase 'After a liar's dice game' gives a clear timing/context cue, implying this is a post-mortem tool. However, it doesn't say whether the game must be finished, whether it works on games you spectated, or why to choose this over dice_get_game for reviewing a match.

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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