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icharshal

NSE-MCP

by icharshal

get_top_gainers

Retrieve top NSE stocks with highest percentage gains in a specified index for the current trading session, with configurable result limit.

Instructions

Top gaining NSE stocks by percentage change for the current session within a given index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexNoNSE index to scan. Default: "NIFTY 500". Options: "NIFTY 50", "NIFTY BANK", "NIFTY IT", etc.
limitNoNumber of results to return. Default: 10.
Behavior3/5

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

With no annotations provided, the description carries the burden of disclosing behavior. It states 'current session' indicating real-time data, but does not mention data freshness, update frequency, or any limitations. No indication of read-only or destructive nature.

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 a single sentence with no wasted words. It is front-loaded with the key purpose and perfectly concise.

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

Completeness3/5

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

The tool has no output schema, so the description could be more complete by explaining the return format (e.g., list of stocks with percentage change). It is adequate for a simple list but leaves the agent to guess the output structure.

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

Parameters3/5

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

Schema description coverage is 100% for both parameters, so the schema already documents them fully. The description adds no additional meaning beyond what the schema provides. Baseline score of 3 is appropriate.

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 specifies the verb 'get', the resource 'top gaining stocks', the metric 'percentage change', the timeframe 'current session', and the scope 'within a given index'. It effectively distinguishes from sibling tools like 'get_top_losers' and 'get_most_active'.

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives. No explicit when-not or examples of preferred scenarios, despite having many sibling tools. The agent must infer usage from context.

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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