get_dataset_info

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

Description indicates a read operation returning specific fields, but lacks details on output structure, error conditions, or any behavioral quirks. No annotations to supplement.

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?

Single, well-structured sentence that is front-loaded and contains no redundant information.

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?

Adequately describes the output for a simple metadata tool with no parameters and no output schema. Could be slightly more explicit about what 'information' includes beyond last update and coverage.

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?

No parameters; schema is empty and fully covered. Baseline 4 for zero parameters.

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?

Clearly states the tool gets information about the historical dataset, specifically last update and coverage. Distinguishes from siblings like get_historical_data (data series) and get_stock_info (specific stock).

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?

Implies usage for metadata about the dataset, but no explicit when-to-use or when-not-to-use guidance. With multiple sibling tools, an exclusions or alternatives mention would be beneficial.

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