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Ladderboard — round-robin ladders and match scores for small clubs

get_standings

The current table (rank, wins, losses, set percentage) plus the single most useful match to play next. Standings are computed with a fixed rule order, so the same results always give the same table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does add a useful determinism guarantee: 'Standings are computed with a fixed rule order, so the same results always give the same table.' However, it does not state whether the tool is read-only, whether any side effects occur, or how the 'single most useful match to play next' is determined.

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?

The description is two concise sentences with no filler. The core output is front-loaded, and the determinism note is a compact, relevant addition.

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-oriented tool with no output schema, the description adequately explains what is returned and adds a behavioral guarantee. It is slightly incomplete because the meaning of 'most useful match to play next' is unexplained, but the agent still has enough to select and invoke the tool correctly.

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 input schema declares zero parameters and the description imposes none, so there is no parameter ambiguity to resolve. With 0 parameters, the baseline is 4, and no additional parameter explanation is needed.

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 clearly states the tool returns the current table (rank, wins, losses, set percentage) plus a recommended match to play next, so the purpose is specific and concrete. It does not explicitly differentiate from sibling tools, though 'get_standings' and the read-oriented wording distinguish it from the mutation-focused siblings like add_player and record_match.

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?

The description gives no explicit guidance on when to use this tool versus alternatives, nor any exclusions or conditions. It is purely definitional and leaves the agent to infer that it is for viewing standings rather than modifying them.

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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