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sanjeev0291

nse-research-mcp

by sanjeev0291

get_company_profile

Retrieve an NSE company's full profile: sector, industry, market-cap bucket, index membership, business summary, employees, website, and headline valuation.

Instructions

Company overview for an NSE symbol: sector, industry (Yahoo and NSE classifications), market-cap bucket, index membership, business summary, employees, website, headline valuation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of disclosure. It discloses the return content but does not mention error handling, authentication, rate limits, or explicitly confirm read-only behavior (though 'get' implies it). This is a minor gap for a simple read operation.

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, front-loaded sentence that states the purpose and efficiently lists the returned fields without redundancy or unnecessary detail.

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

Completeness4/5

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

For a single-parameter tool with no output schema, the description adequately describes the return content and parameter meaning. It does not cover edge cases like invalid symbols, but that is not critical for a straightforward profile fetch.

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?

Schema description coverage is 0%, so the description must compensate. It clarifies that the symbol is an NSE symbol, adding meaningful context beyond the raw 'string' type. It does not provide format examples, but the exchange qualifier is helpful.

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 provides a company overview for an NSE symbol and enumerates specific data points (sector, industry, market-cap bucket, index membership, business summary, employees, website, valuation). This verb+resource statement distinguishes it from price/quote tools and financial statement tools.

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

Usage Guidelines3/5

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

The description implies it is used when a company overview is needed, but it does not explicitly state when to use it over alternatives like get_financials or get_key_ratios. No exclusions or alternative routing are provided.

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