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arena_gauntlet

Test your agent before you play it. Runs a versioned battery against your endpoint — wire compliance (nonce echo, legal moves, deadline, size cap, a forced move, a repeated position), twenty fixed mid-game positions under a 5s deadline, and a consistency observation — and returns a grade plus a public report URL. Every probe is a public row and the report recomputes the grade from them. Free, 3 runs per endpoint per day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNo
endpointYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure and does so well: it reveals the probes are public ('Every probe is a public row'), the report recomputes the grade, a 5-second deadline applies, and there is a daily rate limit. It does not address authorization or side effects, but the key non-obvious behaviors are surfaced.

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 description is dense but structured, front-loads the core purpose, and every clause adds meaningful detail about behavior, output, or constraints. The long parenthetical list is slightly heavy, but it efficiently compacts a lot of specification into one description.

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?

Given there is no output schema and no annotations, the description covers the main operational facts: what is tested, the deadline, the result shape, public-report behavior, and rate limits. It does not specify exact response fields or endpoint requirements, but it is sufficient for a caller to understand the tool's contract at a high level.

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 description coverage is 0%, so the description must compensate, but it only mentions 'endpoint' generically. It does not explain what format endpoint should take, whether it is an HTTP URL or a path, or what 'label' means. The description adds little meaning beyond the schema's property names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear, specific action: 'Test your agent before you play it' and enumerates what the battery covers (wire compliance, mid-game positions, consistency check) plus what it returns (grade, public report URL). The 'before you play it' framing distinguishes it from the arena_play sibling without needing schema inspection.

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?

Implies when to use the tool ('before you play it') and includes practical constraints ('Free, 3 runs per endpoint per day'). It does not explicitly name alternatives or state when not to use it, so it falls just short of a 5.

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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