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aswathas

TradeMCP

by aswathas

trademcp_get_quote

Read-onlyIdempotent

Retrieve current price quotes, day change, volume, 52-week range, valuation multiples, and 1-week to 1-year returns for Indian stocks on NSE or BSE.

Instructions

Get the latest price quote and key statistics for an Indian stock.

Returns the last traded price, day change, day's range, volume, 52-week range, market capitalisation and valuation multiples (P/E, P/B, EPS, dividend yield, beta), plus 1 week / 1 month / 3 month / 1 year returns.

Args: symbol: NSE symbol or company name exchange: 'NSE' or 'BSE' response_format: 'markdown' or 'json'

Returns: Markdown or JSON quote payload. 'Error: ...' if the symbol cannot be resolved.

Input Schema

NameRequiredDescriptionDefault
symbolYesNSE symbol or company name, e.g. 'RELIANCE' or 'tata motors'
exchangeNoPreferred listing: 'NSE' or 'BSE'NSE
response_formatNo'markdown' or 'json'markdown

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description contributes one genuinely useful behavioral detail — an 'Error: ...' string when the symbol cannot be resolved — but says nothing about data latency/real-time-ness, rate limits, or upstream data source, which matter for an openWorld quote tool.

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

Conciseness4/5

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

Well front-loaded: purpose in sentence one, payload in sentence two, then Args/Returns blocks. There is some redundancy where the Returns section repeats the enumerated fields already listed in the opening, but overall it is tight and skimmable.

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?

An output schema exists, so re-describing the return payload adds little, while the real gaps — sibling differentiation, whether the quote is real-time or delayed, and exchange-selection semantics — go unaddressed. Adequate to call the tool correctly, but not complete for a 13-sibling financial data suite.

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% and the schema already contains examples ('RELIANCE', 'tata motors') and defaults for exchange and response_format. The Args block largely restates the schema verbatim without adding syntax, normalization rules, or fallback behavior for exchange, so baseline 3 applies.

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

Purpose4/5

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

The first sentence names a specific verb and resource ('Get the latest price quote and key statistics for an Indian stock') and the body enumerates exactly what is returned, so an agent knows this is a current-snapshot tool. It does not, however, distinguish itself from siblings like trademcp_get_valuation or trademcp_get_price_history even though the listed return fields (P/E, P/B, returns) overlap with them.

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?

There is no explicit statement of when to use this versus the 13 sibling tools — no mention that historical data belongs to get_price_history or that deep valuation belongs to get_valuation. The snapshot nature is only implied by the word 'latest', leaving the agent to infer routing from the return-field list.

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