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wyverns76-J

sports-pulse-mcp

by wyverns76-J

get_weekly_briefing

Aggregates upcoming fixtures and recent results for selected teams into a weekly digest, with optional NBA game inclusion.

Instructions

관심 팀들의 이번 주 경기 일정과 최근 결과를 한번에 모아서 보여줍니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamsYes관심 팀 목록. 예: ['토트넘', '레이커스', '맨시티']
include_nbaNoNBA 오늘 경기 포함 여부 (기본값: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It only says what is shown, not how: no indication of read-only nature, no date boundary definition of 'this week', no mention of whether missing teams/leagues degrade gracefully, and no output shape even though no output schema exists. The lone behavioral hint is empty-result or unknown-team handling, which is absent.

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. It is compact and states the core value (aggregate fixtures + recent results at once), though the brevity is partly the cause of the missing scope and behavioral detail.

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

Completeness2/5

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

For a tool with no annotations, no output schema, and heavy sibling overlap, the description is too thin. It omits the week definition, NBA/league handling, behavior for unknown teams, and any return structure, so an agent cannot confidently decide when this beats the more specific tools.

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 100%: the schema already documents teams (with an example) and include_nba (with its default). The description adds nothing beyond 'teams of interest' and implies a results/fixtures concept, so it sits at the baseline 3.

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

Purpose3/5

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

The description states a combined resource: this week's fixture schedule and recent results, aggregated per team. That is more specific than the name alone, but it is vague about scope versus siblings — get_today_fixtures, get_upcoming_fixtures, get_recent_results and get_nba_today all overlap with parts of this, and the description never carves out what this tool does differently (a weekly aggregated multi-team view).

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 when-to-use or when-not-to-use guidance. With nine sibling tools covering today, upcoming, live, recent, NBA-specific and per-team views, the agent is left to guess whether this is a convenience aggregation or a distinct data source. It does implicitly suggest 'weekly summary across several teams' but never contrasts with alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.