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

Annotations already establish readOnlyHint=true and destructiveHint=false. The description adds useful behavioral context: the data source (TheSportsDB), the per-call cost ($0.02 USDC), and cryptographically attested settlement receipt verification. It does not contradict any annotation.

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 compact and front-loads the core purpose before the source, attestation, and cost details. Each sentence carries information, though the attestation and verification details could be slightly more concise without losing value.

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 zero-parameter read-only tool, the description is complete enough to select and invoke correctly. It states what is returned, the time window, the source, the cost, and the verification mechanism. No output schema exists, but the high-level return description covers the practical need.

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 tool has zero parameters and the schema coverage is 100%, so there is no parameter ambiguity. With 0 params, the baseline is 4; the description appropriately focuses on behavior rather than hypothetical parameter details.

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 resource (MLB game scores), the time range (past 7 days and next 7 days), and the returned contents (teams, scores, game status). It also names the data source, which distinguishes it from sibling sports score tools such as get_sports_nba_scores and get_sports_nfl_scores.

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 usage context is implied: use this tool when MLB scores are needed. However, it does not explicitly contrast itself with the sibling tools like get_sports_scores_multi, get_resolve_game_outcome, or get_verify_game_outcome, nor does it state when not to use it.

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