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xpay✦ Finance Collection

dome_trade_history

Fetches historical trade data for Kalshi markets with optional filtering by ticker and time range. Returns executed trades with pricing, volume, and taker side information. All timestamps are in seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of trades to return (default: 100)
offsetNoNumber of trades to skip for pagination
tickerNoThe Kalshi market ticker to filter trades
end_timeNoEnd time in Unix timestamp (seconds)
start_timeNoStart time in Unix timestamp (seconds)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It discloses return types (executed trades, pricing, volume, taker side) and timestamp units (seconds), which is helpful. However, it omits details about pagination behavior, rate limits, or any side effects, leaving some gaps.

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 three concise sentences, front-loaded with the main purpose, and every sentence adds useful information without redundancy. It is well-structured and easy to parse.

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?

The description covers the core purpose and return information, but it lacks important contextual details such as pagination behavior (how limit/offset work together), the default limit, and how this tool differs from its '_get' sibling. Given the simplicity of the tool, more guidance would improve completeness.

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 description coverage is 100%, so the baseline is 3. The description adds value by clarifying that start_time and end_time are in seconds, which is not explicitly stated in the schema. It also groups ticker and time range as filters, enhancing understanding of their purpose.

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 tool fetches historical trade data for Kalshi markets, specifying the resource and action. However, it does not differentiate from the sibling tool 'dome_trade_history_get', which likely serves a similar purpose, so it misses the opportunity to distinguish between 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?

The description provides no guidance on when to use this tool versus alternatives. It mentions optional filtering but does not explain when this tool is preferred over other related tools like dome_trade_history_get or dome_orderbook_history.

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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