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nse_top_movers

Retrieve today's top performing NSE stocks by gain, loss, or trading volume. Choose from gainers, losers, or most active stocks.

Instructions

Get today's top performing stocks on NSE.

Returns the top 10 stocks by the specified criteria from Nifty 50 components.

Args: mover_type: Type of movers to fetch. Options: - gainers: Top 10 stocks with highest % gain today - losers: Top 10 stocks with highest % loss today - active: Top 10 stocks by trading volume

Examples: nse_top_movers("gainers") → Today's top gainers nse_top_movers("losers") → Today's top losers nse_top_movers("active") → Most actively traded stocks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mover_typeNogainers

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations exist. The description does not disclose behavioral details such as authentication, rate limits, or data freshness. It only covers the basic function, missing opportunities to add transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, using a clear structure with Args and Examples sections. Every sentence is informative and necessary, with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple parameter-driven tool, the description covers the purpose, parameter options, and usage examples. An output schema exists, so return values need not be detailed. It is fully adequate for an agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter with no description. The tool description compensates by explaining the three valid values for mover_type and provides examples, adding meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves today's top performing stocks on NSE, specifically the top 10 by criteria from Nifty 50 components. It distinguishes itself from sibling tools like nse_quote or nse_52week_scanner by focusing on daily movers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly lists three mover types (gainers, losers, active) and when to use each. It does not mention when not to use or alternatives, but it provides sufficient context for correct invocation.

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

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