Get Fixtures

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

With no annotations, the description must carry behavioral burden; 'get' plus 'grouped by matchday' does communicate it is a read that returns grouped data. However, it says nothing about authentication, whether a league must be joined, ordering, or pagination for the full fixture list.

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

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

A single short, front-loaded phrase with no filler. It is efficient but borders on underspecified rather than crisp, leaving nothing to trim but also little to work with.

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

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

The output schema allows the description to skip return values, and the read-only nature is evident. Still, with two undocumented parameters and no guidance on default behavior (all matchdays vs. one), an agent lacks enough to invoke confidently in edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It implies the 'day' parameter via 'a specific day' but never mentions 'league_id', which is a real gap since the tool is described as Bundesliga-specific yet exposes a league selector whose purpose and format are unexplained.

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

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

States the specific resource (Bundesliga fixtures) and the grouping behavior (by matchday), which lets an agent recognize what it returns. The verb is only implied by the tool name rather than the description, and no sibling is named to differentiate, but no sibling covers fixtures so ambiguity is low.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use, when-not-to-use, or alternative guidance. Usage is only inferable from the resource name; the description never says when an agent should call this versus overview/table tools.

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