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TheRundown Data MCP

Get a fixed complete-game stats sample

v2GetStatsSample
Read-onlyIdempotent

Get a fixed complete-game stats sample Returns a static, marked sample game box for schema and parsing tests. It requires an API key but consumes zero data points. It is not a production-data entitlement and must not be polled. 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

No arguments

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

A4.1/5.0
Behavior4/5

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

Annotations already cover the read-only/idempotent/non-destructive profile, yet the description adds substantive traits: it requires an API key, consumes zero data points, is not an entitlement, must not be polled, and is 'one bounded request, no background polling or automatic retry.' The remaining clauses about wagers, price calculation, and affiliate 27 are generic boilerplate not specific to a stats sample.

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

Conciseness2/5

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

The key facts are front-loaded, but the description is padded with template text irrelevant to a static sample: 'Read-only Product data or price calculation,' 'Use returned canonical IDs,' 'No wagers, account changes or guarantee of returns,' and the affiliate-27 exclusion. Several sentences do not earn their place here.

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?

Given an output schema exists and there are no parameters, the description need not explain return values, and it adequately covers the constraints (API key, zero quota, no polling) plus the nature of the response. The stray boilerplate is noise rather than a missing-information gap.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is no parameter syntax the description could add, and it correctly implies no input is required to fetch the fixed sample.

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 opening sentence states a specific verb and resource ('Get a fixed complete-game stats sample') and immediately clarifies it is 'a static, marked sample game box for schema and parsing tests.' This clearly distinguishes it from the real-data siblings such as v2GetStatsByEvent, v2GetAllStats, and v2GetTeamStats.

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?

It gives clear context for use ('for schema and parsing tests'), states it is 'not a production-data entitlement,' and forbids polling. It does not explicitly name a sibling as the production alternative, but the when-to-use boundary is unambiguous.

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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