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DanielTomaro13

sportsdata-mcp

kalshi_candlesticks_batch

Fetch OHLC candlesticks for multiple sports markets in a single API call by providing a list of market tickers, timestamps, and intervals.

Instructions

OHLC candlesticks for MANY markets in one call — pass the tickers as a list.

Returns: {markets:[{market_ticker, candlesticks:[{end_period_ts, price, volume, open_interest}]}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_tsYes
start_tsYes
market_tickersYes
period_intervalNo
Behavior2/5

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

No annotations provided, so description carries full burden. It discloses return format but does not mention rate limits, error handling, or whether it is read-only. Minimal behavioral context.

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?

Two sentences: first states purpose, second shows return format. No unnecessary words. Perfectly concise and front-loaded.

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?

With 4 parameters, no output schema, and no annotations, the description lacks parameter explanations, error conditions, and behavioral guarantees. Incomplete for a batch data tool.

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 coverage is 0%, so description reduces burden. It explains 'market_tickers' as a list, but does not clarify 'start_ts', 'end_ts', or 'period_interval'. Adds some value but incomplete.

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 the tool returns OHLC candlesticks for many markets in one call by passing a list of tickers. It distinguishes from sibling 'kalshi_candlesticks' by emphasizing batch capability.

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 use when multiple markets' candlesticks are needed, but does not explicitly state when not to use or mention alternatives like the single-market sibling. Guidance is implied but not explicit.

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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