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Valorant MCP Server

Valorant MCP Server

get_rr_history

Analyze recent Valorant matches to correlate RR changes with agent, KDA, ACS, KAST, and first kills/deaths, showing which game types gain or lose RR and performance bonuses/penalties.

Instructions

Competitive RR change per match, joined with how the player performed in that match (agent, KDA, ACS, KAST, first kills/deaths). Use it to see which kinds of games gain or lose RR, and RR performance bonuses/penalties.

Input Schema

NameRequiredDescriptionDefault
countNoNumber of recent matches to analyze (max 50)
regionNona, eu, ap, kr, latam or br. Defaults to the server setting.
usernameYesRiot ID as name#TAG, e.g. 'player#NA1'

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.2

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the joined performance fields and the competitive RR focus, but it does not state read-only behavior, authentication needs, rate limits, or whether only competitive matches are included.

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

Conciseness5/5

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

Two sentences, front-loaded with the returned data and followed by the intended use. There is no redundant or filler text.

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?

The presence of an output schema means return values need not be exhaustively explained, and the description covers the main joined metrics and use case. The main gap is lack of sibling differentiation and explicit operational constraints for a tool with no annotations.

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?

Schema description coverage is 100%, so username, count, and region are already documented in the schema. The description adds no parameter-specific meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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 clear resource and scope: competitive RR change per match joined with per-match performance metrics. It is specific about what the tool returns, but it does not explicitly distinguish itself from siblings like get_match_history or get_performance_report.

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 a clear use case: seeing which kinds of games gain or lose RR and identifying RR bonuses/penalties. It does not state when not to use it or name the alternative sibling tools for related match/performance queries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.