TheRundown Data MCP

Get Steamers by Sport and Date

v2GetSteamersBySportAndDate

Read-onlyIdempotent

Get Steamers by Sport and Date Returns open prices for a sport and event date whose implied probability moved the most during the requested lookback window. Read-only Product data or price calculation. Use returned canonical IDs. Access, delay and metered usage follow your connected account; never infer coverage from an empty result. One bounded request, no background polling or automatic retry. Affiliate 27 is excluded. No wagers, account changes or guarantee of returns.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "v2GetSteamersBySportAndDate"
  }
}

Input Schema

Name	Required	Description	Default
`path`	Yes
`query`	No

Output Schema

Name	Required	Description	Default
`data`	No
`plan`	No
`empty`	No
`error`	No
`usage`	No
`status`	No
`message`	No
`event_id`	No
`source_url`	No
`retry_after`	No
`limit_reason`	No
`retrieved_at`	No
`required_plan`	No
`remaining_points`	No
`missing_entitlement`	No
`monthly_remaining_points`	No

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 5, 2026

TDQS

A3.7/5.0

Behavior4/5

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

Annotations already declare read-only, idempotent, open-world, non-destructive. The description adds real behavioral context beyond that: affiliate 27 is excluded, access/delay/metered usage follow the connected account, empty results do not imply missing coverage, and there is no background polling or automatic retry. It stops short of describing the return shape or pagination, but the added disclosure is substantive.

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?

The core purpose is front-loaded in the first sentence, and the following fragments are dense but each carries operational information (read-only, canonical IDs, no polling, affiliate exclusion, no wagers). The phrasing is slightly run-on and repeats 'by Sport and Date' from the title, but there is little true waste.

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?

With an output schema present and rich annotations, the description need not explain return values, and it covers the key operational caveats an agent needs (bounded single request, account-scoped metering, affiliate 27 exclusion, empty-result caution). The main remaining gap is that it never contrasts itself with the many near-identical sibling tools.

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?

The reported schema description coverage is 0%, so the description would normally need to carry the parameter burden; it only partially does, alluding to the lookback window and the affiliate 27 exclusion (mapping to window_minutes and affiliate_ids). It adds no syntax or semantics for sport_id, date, limit, or offset. Baseline 3 reflects partial compensation.

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 states a specific verb and resource (returns open prices for a sport and date) and adds the discriminating scope: prices whose implied probability moved the most during the lookback window. That distinguishes it from the broader v2GetSteamers sibling. It does not explicitly name the sibling it differs from, so it falls short of a 5.

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?

Usage context is implied (read-only product/price data, one bounded request, no polling or retry) and there is a useful caution not to infer coverage from an empty result. However, there is no explicit when-to-use vs when-not-to-use guidance and no alternative tool is named among the many similarly named siblings (v2GetSteamers, v2GetOutliersBySportAndDate, etc.).

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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