gift_nifty

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the tool is free and provides links to live sources, but does not discuss rate limits, data freshness, or any constraints. It also does not describe what happens if data is unavailable. Adequate but leaves important behavioral traits undisclosed.

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 well-structured with a summary sentence, a note about cost, a bullet list of outputs, and an example. It is somewhat lengthy but every sentence adds value. Could be slightly more concise, but overall effective.

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 zero parameters and the presence of an output schema, the description covers all necessary aspects: what data is returned (Nifty close/change, global indices, status, links) and the context (pre-market, free). It is complete for a data retrieval tool with no inputs.

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 zero parameters, so the baseline is 4. The description adds no parameter information because there are none, which is acceptable. No schema detail beyond the empty schema is needed.

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 states that the tool provides GIFT Nifty pre-market data and overnight global indices for Indian market preview. It lists specific outputs: Nifty 50 close/change, global indices (S&P 500, Dow, NASDAQ, Hang Seng), market status, and links. This distinguishes it from siblings like nifty_index (which likely provides only Nifty data) and nse_market_status (which only shows NSE status).

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 implies usage for pre-market analysis by mentioning 'pre-market data' and 'overnight global indices'. It also notes that Bloomberg charges for similar data, positioning this tool as a free alternative. However, it does not explicitly state when to avoid using this tool or name specific alternatives among the many sibling tools, which would strengthen guidance.

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