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

Annotations already declare the tool read-only and idempotent, so the description is not burdened with safety disclosure. It adds useful behavioral context by specifying the exact scope (all 62 teams) and the output includes hub URLs, which goes beyond the annotations.

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?

The description is a single, front-loaded sentence with no filler. Every element—scope, exact count, leagues, and output type—earns its place.

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?

For a simple list tool with no output schema, the description adequately communicates scope and output (teams with hub URLs), and the schema covers the optional filter. It could be slightly more complete by describing the return shape (e.g., field names) or explicitly mentioning the filter, but it is sufficient for an agent to call correctly.

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?

The input schema has 100% description coverage and clearly documents the optional sport enum with 'Optional league filter'. The description reinforces the league breakdown but does not add new parameter syntax or semantics beyond what the schema already provides.

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?

The description clearly states the action ('List') and the resource ('all 62 pro teams') with an exact breakdown (32 NFL + 30 NBA) and what is included (hub URLs). It does not explicitly distinguish itself from sibling tools, but the resource and output are specific enough to avoid confusion.

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?

The description implies this tool is for retrieving the full team list with hub URLs, but it provides no explicit guidance on when to choose it over alternatives or when not to use it. There are no exclusions or sibling comparisons, though the intended use is fairly obvious from the wording.

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