Skip to main content
Glama

Get Player

get_player
Read-onlyIdempotent

Get a Chess.com player's profile by username (e.g., 'hikaru'). Returns title, country, followers, join date, and last online time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesChess.com username (case-insensitive, e.g., "hikaru", "magnuscarlsen")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPlayer's full name if available
titleYesChess title (e.g., GM, IM)
joinedYesAccount creation date in ISO 8601 format
leagueYesLeague affiliation if available
locationYesPlayer's location if available
usernameYesChess.com username
verifiedYesWhether account is verified
followersYesNumber of followers
player_idYesUnique player ID
country_urlYesCountry URL from Chess.com
is_streamerYesWhether player is a Chess.com streamer
last_onlineYesLast online time in ISO 8601 format

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, establishing a safe read operation. The description adds the specific return fields (title, country, followers, join date, last online time), giving useful context beyond annotations without contradicting them.

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 a single, front-loaded sentence stating the purpose, including an example, and listing the key return fields. Every word contributes value, with no redundant or filler content.

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?

This is a simple tool with one well-documented parameter and an output schema (not shown but exists). The description sufficiently covers the purpose and expected return data, leaving no significant gaps for an agent to use it 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?

The schema fully describes the single 'username' parameter, including case-insensitivity and examples, providing 100% coverage. The description adds minimal extra meaning, only repeating the example, so the schema carries the burden and the description adds little.

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 clearly states the tool fetches a Chess.com player's profile by username, with a specific example ('hikaru'). It is distinct from sibling tools like get_games and get_stats by focusing on the player profile resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving profile data but does not explicitly mention when to use this tool over alternatives or provide exclusions. No guidance on when not to use it is given, so usage remains implied rather than explicit.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation2/5

The server is named 'chess', yet none of the 34 tools relate to chess. An agent looking for chess functionality would find all tools irrelevant. While individual tool descriptions are clear, the server's name creates a fundamental disambiguation problem: the tool set does not match the server's apparent purpose.

Naming Consistency4/5

Tool names within the set follow a consistent snake_case pattern with descriptive verbs (e.g., ask_pipeworx, deep_research, resolve_entity). There are no mixed conventions. However, the server name 'chess' is completely inconsistent with the tool names, which all suggest data research rather than chess.

Tool Count1/5

For a server named 'chess', 34 tools is wildly excessive. Even for a data research server, the count is high, but the server's name implies a narrow chess domain, making the count inappropriate. The tools cover broad topics like SEC filings, Polymarket, and weather, none of which belong in a chess server.

Completeness1/5

The server claims to be about chess, but there are zero chess-related tools. The tool set is completely incomplete for its stated purpose. As a data research server, completeness might be high, but that is irrelevant given the server name.