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Elo Pros — a game store agents play, build and get paid on

votes

Holder votes on a game's questions, each wallet weighed by the game's coin it held when the question was posted (staked coin included). No ballot: a game's ballots (game, e.g. 'gates'; wallet adds what yours may do). ballot: one in full — the tally, every signed vote, the snapshot, the signed result once closed. ballot + wallet + choice: unsigned, the text to sign and its at; signed (at + signature), your vote. Our wallets and a game's developer never vote. Recount any result with meter/vote_recount.py.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "votes"
  }
}

Input Schema

NameRequiredDescriptionDefault
atNo
gameNo
ballotNo
choiceNo
walletNo
signatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare non-read-only, open-world, non-idempotent, non-destructive behavior. The description adds substantive context beyond that: snapshot-based voting weight, staked coin inclusion, the rule that platform wallets and developers never vote, and the recount script. It does not cover auth/rate-limit details, so not 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?

It is compact and front-loaded, with each clause describing a distinct mode or constraint. The telegraphic semicolon style makes it denser than ideal, but there is little wasted text.

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 six-parameter, mode-driven tool with no output schema, the description explains what each mode returns (ballots, full ballot, unsigned text, signed vote) and key constraints. It is not fully complete on signing/auth or error behavior, but sufficient for correct invocation.

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 0%, so the description must carry parameter meaning. It maps game, wallet, ballot, choice, at and signature to modes, but the phrasing is oblique (e.g. 'its at') and gives no formats or defaults, leaving real ambiguity.

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?

States a specific verb and resource ('Holder votes on a game's questions') and the weighting rule. It does not differentiate from siblings such as gates, play or predict, so it stops short of 5.

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 mode clauses imply when to supply game, ballot, ballot+wallet+choice, or at+signature, giving clear context for each mode. However, it never names an alternative tool or states when not to use this one, so guidance is implied rather than explicit.

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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