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

Annotations are absent, so the description carries the full behavioral burden. It does disclose the output essence (upcoming predictions with probabilities and edge), but it does not mention ordering, pagination, response shape, or any operational caveats. It is adequate but not richly transparent.

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 extremely concise at one sentence with no filler, and it front-loads the main value proposition. It loses a point because it is phrased as a fragment rather than a clear action statement, and the mention of 'probabilities and model-vs-market edge' may be a bit compressed.

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 tool is simple with two optional parameters, and the schema already documents those. Yet the description leaves some context unclear: it does not explain how predictions relate to 'value bets', how league filtering works, or how results are ordered. It is adequate for a basic listing tool, but not fully complete.

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 100% and both parameters have their own descriptions (limit and league filter). The tool description adds no parameter information, but the schema already explains the semantics, so the baseline score of 3 applies.

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 identifies the main content of the tool: upcoming predictions, probabilities, and model-vs-market edge. It is clear what resource the tool is about, though it lacks an explicit verb (Get/List) and does not distinguish itself from sibling tools like get_value_bets.

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 guidance on when to use this tool instead of similar siblings such as get_value_bets, get_arbs, or fetch. The description implies a read-only listing of upcoming predictions, but never states exclusions or alternative selection criteria.

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