analyze_numbers

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it mentions what the tool does (analyze statistics), it doesn't describe important behavioral aspects like whether this is a read-only operation, what format the output takes, whether it requires authentication, or any rate limits. The description is insufficient for a tool with no annotation coverage.

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 very concise - a single sentence in Chinese that gets straight to the point. There's no wasted language, though the '等' (etc.) creates some ambiguity. It's appropriately sized for what it communicates.

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 no annotations and no output schema, the description is incomplete for a statistical analysis tool. It doesn't explain what the output looks like, what statistical methods are used, or how the analysis is performed. With 2 parameters and no structured output information, the description should provide more context about the tool's behavior and results.

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 schema description coverage is 100%, so the schema already fully documents both parameters (lottery_type with enum values and periods with range/default). The description adds no additional parameter information beyond what's in the schema, so it meets the baseline expectation but doesn't provide extra value.

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 the tool analyzes lottery number statistics including hot and cold numbers, which provides a general purpose. However, it's somewhat vague ('等' meaning 'etc.' adds ambiguity) and doesn't clearly distinguish this from sibling tools like 'analyze_seq_numbers' or 'get_historical_data' that might also involve lottery number analysis.

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 provides no guidance on when to use this tool versus alternatives. With multiple sibling tools related to lottery analysis (e.g., 'analyze_seq_numbers', 'backtest_lottery', 'predict_lottery'), there's no indication of what makes this tool distinct or when it should be preferred over other options.

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