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Play Face to Face

Recommend multiplayer games

recommend_games
Read-only

Returns currently available Play Face to Face games ranked against player count, available time, complexity, and preferences.

Input Schema

NameRequiredDescriptionDefault
complexityNo
preferencesNo
player_countNo
max_duration_minutesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds the useful detail that results are ranked against the supplied criteria, but leaves unclear what happens when all optional parameters are omitted (default ranking?) and whether results are paginated or capped.

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?

A single front-loaded sentence with no filler; the resource and ranking criteria come first. It is arguably too terse for a four-parameter tool, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only recommendation tool with no output schema and 0% parameter documentation, the description does the minimum: it identifies the ranking criteria. It stops short of explaining default behavior with zero arguments, ranking tie-breaks, or result limits, which matter given every parameter is optional.

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 description coverage is 0%, so the description carries real weight, and it does map the four criteria onto the four parameters (player count, available time, complexity, preferences). However it adds no semantics beyond the names: no clarification that max_duration_minutes is a hard cap or a soft preference, no note that all parameters are optional, and no guidance on what the free-form 'preferences' strings should contain.

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 ('Returns') and resource ('currently available Play Face to Face games') plus the ranking dimensions. It is clearly distinct from room-oriented siblings like create_game_room and get_room_status, but it never names list_games or get_game_options, which an agent could easily confuse with this tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no exclusion naming list_games or get_game_options as alternatives. The 'ranked against ... preferences' phrasing implies a recommendation scenario, but the agent must infer that on its own.

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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