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kalshi_markets_history

Read-only

Fetch normalized candlestick data for up to 25 Kalshi market tickers in one request. Choose this batch tool to compare several markets over the requested interval; use kalshi_market_history for one ticker. include_latest_before_start controls whether a candle just before the interval is included.

Input Schema

NameRequiredDescriptionDefault
end_tsNoUnix end timestamp in seconds.
start_tsNoUnix start timestamp in seconds.
market_tickersYesKalshi market tickers.
period_intervalNoCandlestick interval in minutes.
include_latest_before_startNoInclude the latest candle before start_ts when supported upstream.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds a genuine behavioral constraint beyond the annotations: the 25-ticker batch cap, plus clarification of what include_latest_before_start does. It stops short of mentioning rate limits, auth, or error behavior, so a 4 rather than a 5.

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?

Three tight sentences: purpose front-loaded, then sibling routing, then a single param clarification. Every sentence earns its place with no redundancy.

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?

An output schema exists, so return values need no explanation, and annotations cover safety. The description is nearly complete for a 5-param batch tool, though it could say more about the interval/period semantics that drive the candlestick output.

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 100%, so the schema already documents all five parameters including timestamps, interval, tickers, and the include flag. The description's note on include_latest_before_start largely restates the schema text, adding little beyond it. Baseline 3 is appropriate when the schema carries the parameter semantics.

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?

States a specific verb (Fetch) and resource (normalized candlestick data) with an explicit scope: up to 25 Kalshi market tickers in one request. It directly contrasts with the sibling kalshi_market_history, so an agent can distinguish the two without opening either schema.

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?

Gives explicit when-to-use ('compare several markets over the requested interval') and names the alternative plus its selecting condition ('use kalshi_market_history for one ticker'). Nothing is left to inference for tool selection.

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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