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DanielTomaro13

sportsdata-mcp

kalshi_mve_collections

Retrieve multivariate event collections for parlay-style combo products. Filter by status or series ticker for targeted data.

Instructions

Multivariate event collections — the parlay-style combo products that many KXMVE* markets belong to (a market's mve_collection_ticker points here).

Returns: {cursor, multivariate_contracts:[{collection_ticker, series_ticker, title, description, is_ordered, is_all_yes, size_min, size_max, associated_event_tickers, open_date, close_date}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNo
statusNo
series_tickerNo
Behavior3/5

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

No annotations provided, so the description carries the burden. It discloses the return shape (cursor and fields), implying pagination but not explicitly. Does not mention read-only nature, rate limits, or authentication needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Reasonably concise: one sentence plus a compact return structure. No unnecessary fluff, though the inline return could be separated for clarity.

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 4 parameters, no output schema, and a sibling tool with a similar name, the description is incomplete. Missing parameter explanations, usage examples, and details on how status and series_ticker filter results.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no information about the meaning or usage of the parameters (limit, cursor, status, series_ticker). It fails to clarify how these affect results.

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 returns multivariate event collections (parlay-style combo products) and lists the return fields. However, it does not distinguish itself from the sibling kalshi_mve_collection (singular), which likely returns a single collection.

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?

No guidance on when to use this tool versus alternatives like kalshi_mve_collection or other kalshi tools. No mention of prerequisites or context.

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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