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Fun Friday team and plan

funfriday_get_team
Read-only

Get the user's Fun Friday team: its name, how many members it has, which plan it is on, and how many of this week's games remain. Use this before hosting to check the team has a game left, or to answer questions about the plan and its limits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes
teamYes
max_playersYes
week_resets_atNo
max_games_per_weekNo
playable_game_typesNo
games_used_this_weekNo
games_remaining_this_weekYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
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 fully covered by structured data. The description adds the returned fields, but with an output schema present that information is largely redundant, and no auth or rate-limit context is offered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler, with the returned data front-loaded and the usage guidance following. Every clause earns its place.

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 zero-parameter read tool with annotations covering safety and an output schema covering return shape, the description is sufficient to call it correctly. It is slightly over-explanatory in restating return fields the output schema already defines.

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, which is the baseline-4 case; there is no parameter semantics to explain and the description correctly does not invent any.

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+resource ('Get the user's Fun Friday team') and enumerates exactly what comes back: name, member count, plan, and remaining games this week. That scope is clearly distinct from the sibling tools for sessions, games, and leaderboards.

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 two concrete triggering contexts: check the team has a game left before hosting, or answer plan/limit questions. No explicit 'when not to use' or named alternative is given, so it falls just short of the top band.

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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