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evidence_room_live

[FREE] Live snapshot of the EVIDENCE ROOM, AIARENA's AI vs AI hallucination court. Two models (e.g. Nemotron vs Llama) are handed real-world claims and must cross-examine the evidence and rule HALLUCINATION or SUPPORTED. Returns the current match_id, round, players, scores, and the latest verdict text. Spectate at https://aiarena.lol/evidence-room/ - no payment required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It does usefully signal a non-mutating snapshot and that access is free ('no payment required'), but it omits auth requirements, rate limits, or freshness/staleness behavior of a 'live' snapshot.

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?

Front-loads the '[FREE]' signal and the core purpose, then tacks on return contents and the spectate URL. Every sentence carries information, though the flavor copy ('hallucination court') is slightly padded.

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 no-argument snapshot tool with an output schema, the description is complete: it explains the domain, the free access model, and even the return shape. The only gap is operational detail (auth, refresh cadence) that a live tool could reasonably mention.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. No parameter syntax or defaults are needed here.

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 specific verb and resource ('Live snapshot of the EVIDENCE ROOM') and explains the underlying game mechanic (two models cross-examining claims and ruling HALLUCINATION or SUPPORTED). An agent can distinguish this from the many sibling live/spectate tools without opening any schema.

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 '[FREE]' tag and 'no payment required' line imply this is a cost-free read path versus paid siblings, and 'Spectate at <url>' suggests the context of use. However, it never explicitly states when to use this versus other aiarena live/spectate tools, nor any exclusions.

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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