detect_trading_anomalies

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does not state whether the tool is read-only, destructive, or has side effects. It mentions analyzing and returning outputs but lacks details on authentication, rate limits, or data persistence.

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 concise with two paragraphs. The first sentence clearly states the purpose, followed by a list of anomaly patterns and return items. It could be slightly tighter by removing redundancy, but it is well-structured and front-loaded.

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?

Given an output schema exists and schema covers parameters, the description explains the tool's purpose and return values adequately. However, it lacks usage guidelines and behavioral transparency, leaving gaps for an agent to fully understand when and how to invoke it safely.

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 description coverage is 100%, so the schema adequately documents param purposes. The description adds no extra meaning beyond the schema for the parameters. It mentions 'Analyzes a sport type' and 'Optional URL of the league's data API', which aligns with schema descriptions but does not enhance them.

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 states 'Detect potential trading anomalies and integrity risks for a sport' with a clear verb and resource. It lists specific anomaly patterns, making the purpose specific. However, it does not explicitly differentiate from sibling tools, which all have distinct but related functions.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., assess_league_readiness or evaluate_league). The description does not mention when not to use it or any prerequisites. The use case is implied but not explicitly stated.

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