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The week's biggest rating movers

movers
Read-only

Returns the clubs whose 442ball Power Rating rose (up) or fell (down) most between the latest two weekly snapshots, in one league (its slug) or one comparison group, 1 to 10 of them (default 5). The change is the rating difference only.

Input Schema

NameRequiredDescriptionDefault
nNo
scopeYes
directionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so safety is covered; the description adds real context on top: results are bound to the two most recent weekly snapshots and measure rating delta rather than absolute rating. It does not mention tie-breaking, ordering stability, or what happens if a league has fewer than n movers.

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?

A single dense sentence that front-loads the return, then layers scope, count, and the delta definition with no filler. Every clause carries information the agent needs to call the tool correctly.

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?

There is no output schema, so the description is the only source for return shape, and it does say the tool returns clubs ranked by rating change with the delta as the metric. It stops short of enumerating the per-club fields (name, rating, change value), which is a modest gap for a tool with no structured return documentation.

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?

With 0% schema description coverage, the description must carry the parameters and largely does: n is bounded to 1-10 with a default of 5, direction is glossed as rose (up) or fell (down), and scope is described as a league slug or a comparison group. The remaining gap is that it does not explain how the tool distinguishes a league slug from a comparison-group identifier in the same string parameter.

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 (returns the clubs whose Power Rating rose or fell most) scoped to the latest two weekly snapshots, which separates it semantically from rating_history (full series) and rankings (static list). The closing note that the change is the rating difference only further pins down what is being measured.

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 description makes the data window (latest two weekly snapshots) and scope choice (one league slug or one comparison group) clear, which implicitly tells an agent when this tool fits. However, it never names an alternative or states when not to use it, so the choice against siblings like rankings or rating_history is left to inference.

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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