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TheRundown Data MCP

Get spreads for an event

v1GetSpreads
Read-onlyIdempotent

Get spreads for an event 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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
queryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
planNo
emptyNo
errorNo
usageNo
statusNo
messageNo
event_idNo
source_urlNo
retry_afterNo
limit_reasonNo
retrieved_atNo
required_planNo
remaining_pointsNo
missing_entitlementNo
monthly_remaining_pointsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior4/5

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

Beyond the readOnly/idempotent annotations, the description discloses substantive traits: access, delay and metered usage follow the connected account, an empty result must not be read as no coverage, requests are single bounded calls with no polling or retry, affiliate 27 is excluded, and no wagers or guarantees apply. That is real added context.

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?

Purpose and read-only nature are front-loaded, and the remaining caveats are terse and clause-like with little filler. Slightly run-on, but every sentence carries information.

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?

An output schema exists, so return values need not be described, and the safety behavior is well covered. The gap is request construction: with two undocumented, nested parameters and no field guidance, an agent lacks enough to reliably form the call.

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?

Schema description coverage is 0% and neither parameter is explained. The only clue is 'Use returned canonical IDs', which loosely justifies the required path.id string but says nothing about format/bounds or the query.include=all_periods option, leaving the schema to carry an undocumented request shape.

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 opening 'Get spreads for an event' gives a specific verb and resource, and 'spreads' implicitly distinguishes it from siblings like v1GetMoneylines and v1GetTotals. It does not, however, explicitly name those alternatives to disambiguate the market-type choice.

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?

There is no statement of when to call this versus the many related line tools (moneylines, totals, team totals, best line). 'Use returned canonical IDs' hints at chaining but is a data-hygiene note, not usage guidance.

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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