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DanielTomaro13

sportsdata-mcp

kalshi_trades

Retrieve recent public trades from Kalshi markets with optional filtering by ticker and time range. Supports cursor-based pagination.

Instructions

Recent public trades, optionally for one market ticker. Paginated by cursor.

Returns: {cursor, trades:[{trade_id, ticker, count, yes_price, no_price, taker_side, created_time}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNo
max_tsNo
min_tsNo
tickerNo
Behavior3/5

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

No annotations are provided. The description mentions pagination via cursor and the return structure, but does not disclose rate limits, authentication needs, or whether the operation is read-only. The behavioral context is partial.

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 extremely concise with two sentences, front-loading the purpose and output structure. Every sentence adds value with no wasted words.

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?

Given the tool has 5 parameters and no output schema, the description provides the output structure but omits parameter details for 3 parameters. It is adequate for a simple retrieval tool but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers 5 parameters with 0% description coverage. The description only adds meaning for 'ticker' and 'cursor' (implied by pagination). The other parameters (limit, max_ts, min_ts) are left unexplained, which is insufficient.

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 retrieves recent public trades, optionally filtered by a market ticker, and is paginated. It uses specific verbs and resources, distinguishing it from sibling tools like kalshi_market or polymarket_trades.

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

Usage Guidelines4/5

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

The description implies use for fetching recent trades with optional ticker filtering. It does not explicitly state when to use versus alternatives or mention exclusions, but the purpose is clear enough for an agent to decide.

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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