get_latest_market_data

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. It only states the action ('get latest market data') without detailing traits like data freshness, rate limits, authentication needs, error handling, or response format. For a tool that likely involves external data fetching, this is a significant gap in transparency.

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, efficient phrase in Chinese ('获取最新行情数据') that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with zero waste, making it highly concise and well-structured for its minimal content.

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 the tool's complexity (fetching market data with parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects, output format, or usage context, leaving gaps that could hinder an AI agent's ability to invoke it correctly without additional assumptions.

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 description adds no parameter semantics beyond what the input schema provides. Schema description coverage is 100%, with clear documentation for 'codes' and 'period', including examples. The description doesn't explain how parameters interact (e.g., how 'period' affects 'latest') or provide additional context, so it meets the baseline for high schema coverage.

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 '获取最新行情数据' (Get latest market data) states the basic purpose but is vague about scope and differentiation. It doesn't specify what 'latest' means (real-time, end-of-day, etc.) or how it differs from sibling tools like 'get_history_market_data' or 'get_full_market_data'. The verb+resource is present but lacks specificity.

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. The description doesn't mention prerequisites, timing considerations (e.g., real-time vs. delayed data), or comparisons to siblings like 'get_history_market_data' for historical data or 'get_full_market_data' for comprehensive datasets. Usage 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.