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rezmeplxrf

InsightSentry MCP

by rezmeplxrf

get_quotes

Retrieve real-time quotes for up to 10 financial symbols to monitor current prices, trading volume, bid/ask spreads, and market changes.

Instructions

Real-time quote data. Retrieve real-time quote data for up to 10 symbols → Returns {total_items: number, data: [{code: string, status?: string, last_price?: number, change?: number, change_percent?: number, volume?: number, bid?: number, ask?: number, bid_size?: number, ask_size?: number, market_cap?: number, open_price?: number, high_price?: number, low_price?: number, prev_close_price?: number, lp_time?: number, delay_seconds?: number, currency_code?: string, unit?: string}]}. For historical data use get_symbol_series. For company details use get_symbol_info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codesYesComma-separated list of symbol codes in Exchange:Symbol format. Each code must match the SymbolCode pattern.
settlementNo(Optional) Set Settlement as daily close. Default is false
badjNo(Optional) Back-adjustment for continous futures contracts (has no effect on non-continous futures data). Default to true.
extendedNo(Optional) Extended hours (Not all assets support extended hours). Default to true.
dadjNo(Optional) Dividend adjustment for equities and etfs (has no effect on assets without dividends). Default to false.
filterNo(Optional) JSONata expression to filter/transform the API response server-side before it reaches you. Use this to extract only the fields or rows you need, reducing token usage. See https://jsonata.org for syntax.
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the return structure in detail (total_items, data array with specific fields) and notes the 'up to 10 symbols' limit. It does not mention rate limits, error behavior on exceeding 10 symbols, or latency characteristics, but covers the essential behavioral contract.

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?

Front-loaded with the core purpose ('Real-time quote data. Retrieve...'). The inline JSON return structure is verbose but necessary given the lack of structured output schema. The sibling tool references are efficiently placed at the end. Slightly dense but information-dense.

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?

Compensates well for lack of annotations and structured output schema by providing detailed return structure inline. Covers the 10-symbol limit and points to related tools. Could be improved with error handling or rate limit notes, but sufficient for a data retrieval tool of this complexity.

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 coverage is 100%, establishing a baseline of 3. The description adds the critical constraint 'up to 10 symbols' which is not documented in the codes parameter schema. However, it does not elaborate on the boolean flags (settlement, badj, extended, dadj) beyond the schema descriptions.

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 states 'Retrieve real-time quote data for up to 10 symbols' - a specific verb (retrieve), resource (quote data), and scope constraint (10 symbols, real-time). It clearly distinguishes from siblings by naming get_symbol_series for historical data and get_symbol_info for company details.

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

Usage Guidelines5/5

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

Explicitly directs users to alternatives: 'For historical data use get_symbol_series. For company details use get_symbol_info.' This provides clear when-not-to-use guidance and names the correct sibling tools for those use cases.

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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