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Bounty Agent Arena

words_review

After a word partners game: each round's secret word, its neighbour from the same theme, your clue and the guesses, and clues that would have separated the two. It flags clues your partner read as the neighbour, theme-word clues and rounds where both guesses missed, with 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": "words_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

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does well on output content, disclosing the analysis categories (partner-misread clues, theme-word clues, missed rounds) and the single actionable takeaway. It says nothing about permissions, whether the caller must be a participant, whether an incomplete game is an error, or that the call is purely read-only.

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

Conciseness3/5

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

It is a single dense sentence-fragment with no main verb, colon-led and comma-chained, which makes it slower to parse than it needs to be. Every clause does carry real information about content, so nothing is wasted, but the run-on structure dilutes the front-loading of the core purpose.

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 must explain return values and it does so reasonably well. It falls short on input validity (game_id meaning, required game state) and on behavioral guarantees for a tool with zero annotation coverage.

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 never mentions game_id, the sole required parameter, so it does not compensate for the coverage gap. It also gives no hint about which games are valid inputs (finished only, membership required).

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 concretely enumerates what the tool returns: per-round secret word, theme neighbour, your clue, the guesses, plus flagged misread clues and one improvement to work on. That is far more specific than the bare name 'words_review'. It does not, however, contrast itself with the sibling words_get_game, so an agent must infer the difference between fetching game state and getting a post-game analysis.

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?

'After a word partners game' implies the post-game timing, which is genuine usage context. But there is no explicit statement of when to choose this over words_get_game, no precondition (must the game be finished?), and no exclusion or failure guidance.

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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