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Glama

sportiq-mcp

football_get_standings

Read-onlyIdempotent

Return current World Cup 2026 group standings.

Args: limit: Max standing rows to return, 1..200 (default 50). offset: Number of rows to skip for paging (default 0).

Returns: data.standings: page of {rank, team, group, points, played, goals_diff}. data.pagination: {total, count, offset, limit, has_more, next_offset}. meta.source: adapter that served the data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax standing rows to return, 1..200 (default 50).
offsetNoNumber of rows to skip for paging (default 0).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  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, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds value beyond annotations by disclosing pagination behavior, return envelope shape, and the meta.source adapter detail. No contradiction exists.

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?

The description is well-structured and front-loaded with the core purpose. The Args block is redundant given the input schema, but the Returns section justifies its presence. Overall it is concise with no filler, though a bit repetitive.

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

Completeness5/5

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

Given the tool's simplicity, the rich annotations, and the presence of an output schema, the description is complete. It documents the pagination contract, the return fields, and the source metadata. Nothing essential for an agent to call it correctly is missing.

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%, so the baseline is 3. The Args section simply restates the schema descriptions for limit and offset without adding new semantic detail. The Returns section indirectly clarifies paging behavior but does not enhance parameter meanings beyond what the schema already provides.

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?

The first sentence states a specific verb ('Return'), a precise resource ('World Cup 2026 group standings'), and implicitly distinguishes the tool from siblings like football_get_groups or football_get_fixtures. The resource scope is unambiguous and cannot be confused with any other listed tool.

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?

The description clearly implies the tool should be used when a caller needs current World Cup 2026 group standings. It provides no explicit exclusion or alternative routing, but the context is strong enough for an agent to select it appropriately among football-related list tools.

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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