market_turnover

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

With no annotations provided, the description bears full responsibility for disclosing behavior. It only states a fact ('Today's NSE market turnover') and offers no detail about return format, whether it includes delivery and derivative turnover, or how it behaves outside market hours. This is insufficient for a data-fetching tool.

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 short sentence that is front-loaded and free of unnecessary words. It clearly states the subject (NSE market turnover) and the time scope (today), making it highly concise without being overly vague.

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?

The tool is simple (0 params, no output schema), and the description provides the essential idea. However, it does not explain the meaning of 'turnover' or clarify any date/time semantics (e.g., if it reflects the current session or the last completed day). The absence of annotations and output schema increases the need for more context, which the description does not fully meet.

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 0 parameters and the schema is empty, so per the rubric the baseline is 4. The description adds no parameter-specific information, but none is needed. No gaps exist in parameter documentation.

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 identifies the resource: NSE market turnover for today. Although it lacks an explicit action verb, the noun phrase effectively communicates what the tool provides. It does not distinguish among sibling tools like trade_info or market_status, so it doesn't earn a 5.

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 given on when to use this tool versus alternatives. There is no mention of exclusions or preferred contexts, and the description does not reference sibling tools such as trade_info or market_status. The agent must infer usage purely from the name.

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