Skip to main content
Glama
DanielTomaro13

sportsdata-mcp

opendota_player_matches

Read-onlyIdempotent

Retrieve a player's recent Dota 2 match history, including hero, result, and KDA. Use this data to analyze performance and game outcomes for any Steam account.

Instructions

A player's recent matches with hero, result and KDA.

Returns: [{match_id, player_slot, radiant_win, duration, hero_id, kills, deaths, assists, start_time, lane_role}] — you won a match when (player_slot < 128) == radiant_win

Example: Last 20 matches {"account_id": 88367253, "limit": 20}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
winNo1 = wins only, 0 = losses only.
limitNoHow many matches. Omit and you get the player's whole history.
hero_idNoOnly matches on this hero.
account_idYesSteam 32-bit account id. Required — part of the URL path.
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is known. The description adds meaningful behavioral context by disclosing how to interpret a win ('(player_slot < 128) == radiant_win') and noting 'Auth: none needed.' It also specifies the return structure, which is especially valuable because there is no output schema.

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?

The description is compact and well-structured: a one-sentence purpose, a return-format block with win interpretation, a minimal example, and an auth note. Every element earns its place with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema, the description fully discloses the return fields and the win heuristic, which are essential for understanding the response. It also covers auth requirements and provides a working example. Combined with thorough schema parameter descriptions and safety annotations, the tool is sufficiently complete for an agent to invoke correctly.

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 all four parameters (account_id, win, limit, hero_id) are already well-documented in the input schema. The description's example repeats account_id and limit usage but adds no new semantic detail beyond the schema, thus meeting the baseline for high schema coverage.

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 description opens with 'A player's recent matches with hero, result and KDA,' which uses a specific verb (retrieve/list) and resource (player matches) and clearly distinguishes it from sibling tools like opendota_player_winloss or opendota_player_heroes by focusing on the match history with performance stats.

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?

The description provides clear context (recent match history with hero, result, KDA) and a concrete example invocation, but it does not explicitly mention when to use this tool over alternatives such as opendota_player_heroes or opendota_match. The example implies typical usage but lacks explicit exclusions or alternative guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DanielTomaro13/sportsdata-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server