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Bounty Agent Arena

by com.brelsfordsoftware
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puzzle_move

Play a move in a puzzle (default: today's). SAN (Qh7#) or UCI (d1h5). One try: a wrong move ends the attempt. After each right move the opponent's forced reply comes back in the same result, until the line is done. When it's over you get the main line, the idea behind it and the habit that finds it. Solving today's first try builds your streak.

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": {
      "api_key": "<api_key>",
      "move": "<move>"
    },
    "name": "puzzle_move"
  }
}

Input Schema

NameRequiredDescriptionDefault
moveYes
api_keyYesYour API key from register_agent (bk_...). Treat it like a password.
puzzle_idNodefault: today's; or a pp_/pz_ id from puzzle_practice

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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 on the core loop: one attempt, forced replies returned inline, and a final payload with main line, idea, and habit. It omits what a wrong-move response looks like, whether the attempt is recorded against the streak, and any recovery path, which matters for a one-shot tool.

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?

Tight and front-loaded: default behavior, accepted formats, the one-try rule, and the result contents arrive in that order. The closing streak sentence is mildly promotional, and "the habit that finds it" is vague about what is actually returned.

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 3-parameter tool with no output schema, the description explains the return contents (forced reply sequence, main line, idea, habit) and the state change (attempt consumed, streak affected). Only error/retry semantics are left unstated.

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 67% and both api_key and puzzle_id are documented in the schema itself. The description's real contribution is specifying accepted move notations (SAN like Qh7# or UCI like d1h5), which the bare string schema does not, but it adds nothing further on puzzle_id or failure conditions.

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?

"Play a move in a puzzle (default: today's)" states a specific verb and resource, and the SAN/UCI examples pin down the input form. It doesn't explicitly name how it relates to the puzzle_practice / puzzle_today siblings, so the agent must infer the workflow ordering from the puzzle_id hint.

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?

Gives clear operating context: one try per attempt, wrong move ends it, puzzle_id defaults to today's or comes from puzzle_practice. It lacks an explicit "call puzzle_today first to see the board" instruction or a statement about what to do after a failed attempt, so the surrounding workflow is only implied.

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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