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chandantherefore

Kite MCP Server

get_historical_data

Retrieve historical price data for financial instruments by specifying date ranges and intervals to analyze market trends.

Instructions

Get historical price data for an instrument

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instrument_tokenYesInstrument token (can be obtained from search_instruments tool)
from_dateYesFrom date in YYYY-MM-DD HH:MM:SS format
to_dateYesTo date in YYYY-MM-DD HH:MM:SS format
intervalYesCandle interval
continuousNoGet continuous data (for futures and options)
oiNoInclude open interest data
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Get historical price data' but doesn't mention if this is a read-only operation, potential rate limits, authentication needs, data format, or pagination. For a tool with 6 parameters and no annotations, this is a significant gap in 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 a single, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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

Completeness2/5

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

Given the complexity (6 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain the return values, data structure, or behavioral aspects like error handling. For a data retrieval tool with multiple parameters, more context is needed to guide the agent effectively.

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?

The schema description coverage is 100%, with all parameters well-documented in the input schema (e.g., date formats, interval enums, defaults). The description adds no additional parameter semantics beyond the schema, so it meets the baseline score of 3 where the schema does the heavy lifting.

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 description clearly states the verb 'Get' and the resource 'historical price data for an instrument', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_ohlc' or 'get_quotes', which might also retrieve price-related data, so it doesn't reach the highest score.

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 provides no guidance on when to use this tool versus alternatives like 'get_ohlc' or 'get_quotes'. It lacks context about prerequisites (e.g., needing an instrument token from 'search_instruments') or exclusions, leaving the agent with no usage direction.

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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