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list_games

The games the hub runs — each with its rules in order, who earns what, machine-readable terms (minimum stake, fees, windows, clocks) and the live table. Read a game before the first stake; name one to get it in full. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameNoa game id, for one game in full

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses cost ('Free'), implies read-only behavior via 'Read', and enumerates output content (rules, earnings, terms, live table). However, it never explicitly states the operation is non-mutating or describes the response shape, leaving some behavioral detail implicit.

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-loaded with the subject, then packs scope, content, behavior, and cost into three compact sentences. Efficient with no padding, though the dense phrasing is slightly busy.

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 read tool with one optional parameter and no output schema, the description covers what is returned (rules, earnings, terms, live table), the optional filtering behavior, and cost. The only gap is the absence of an explicit mutability statement, but the 'Read' framing largely covers it.

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 100% — the single game parameter is already described as 'a game id, for one game in full'. The description re-states this ('name one to get it in full') without adding new semantic detail, so it meets the baseline for fully documented parameters but adds little beyond the schema.

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 states what the tool surfaces — the hub's games with their rules, earnings, machine-readable terms, and live table. The verb is implicit ('the games the hub runs' implies a listing) but unambiguous. It doesn't explicitly name a sibling alternative, though no other sibling covers 'hub games' generally, so differentiation is implied rather than stated.

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 actionable timing guidance ('Read a game before the first stake') and explains the optional filter ('name one to get it in full'). It doesn't enumerate alternatives or exclusions, but the hub-game scope makes competing tools unlikely, and the pre-stake instruction is concrete.

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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