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TheRundown Data MCP

Get team game stats for an event

v2GetStatsByEvent
Read-onlyIdempotent

Get team game stats 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

B3.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, yet the description still adds real operational context: metered usage and delay follow the connected account, empty results do not imply no coverage, affiliate 27 is excluded, and there is no automatic retry. That is genuine value beyond the structured hints, though the string of constraints reads as boilerplate rather than tailored disclosure.

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

Conciseness3/5

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

Purpose is front-loaded in the first clause, which is good, but the remainder is a run-on sequence of loosely related caveats (affiliates, metering, retries, wagers) that would benefit from separation. Several sentences restate the same 'this is a bounded read-only request' idea.

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-shape explanation is not required, and the description covers the read-only scope, account-dependent metering, and the affiliate exclusion. It still omits the one thing an agent needs most in this dense sibling set: how this differs from v2GetTeamStats and other event-scoped stat 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 schema itself documents eventID (canonical V2 event ID) and both query filters, and the description only reinforces the canonical-ID requirement without adding format or filtering detail. The team_id and stats_ids parameters are left entirely to the schema, so the description neither compensates for nor extends parameter meaning.

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 clause names a specific verb ('Get') and resource ('team game stats for an event'), which is unambiguous about what is returned. However, it never distinguishes itself from close siblings like v2GetTeamStats or v2GetPlayerStatsByEvent, so an agent must infer the scope difference from the parameter shape alone.

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 use this tool versus the numerous alternatives, and no prerequisites or exclusions tied to a selection decision. The closest thing to guidance is 'Use returned canonical IDs' and 'One bounded request, no background polling,' which describe usage constraints rather than routing logic.

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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