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arVahedi

chesscom-mcp

by arVahedi

Chess.com MCP Server

CI Live integration

A stateless, read-only MCP gateway for the public Chess.com Published Data API. It gives Codex or another trusted agent a small typed tool surface without storing Chess.com credentials, cookies, sessions, API keys, games, or query history.

Agent -> authenticated HTTP on localhost -> MCP container -> HTTPS -> api.chess.com/pub

The primary transport is stateless Streamable HTTP with JSON responses. Local stdio is the default CLI transport. Remote Chess.com strings are returned as untrusted external data and are never treated as instructions or followed as URLs.

Tools

Tool

Purpose

get_player_profile(username)

Public player profile

get_player_stats(username)

Public player statistics

is_player_online(username)

Current online status

get_player_current_daily_games(username, offset=0, limit=25)

Paginated current Daily games

get_player_game_archives(username)

Validated {year, month} archive entries

get_player_games_by_month(username, year, month, offset=0, limit=25)

Paginated monthly games without embedded PGN

get_player_games_pgn_by_month(username, year, month, offset_chars=0, max_chars=50000)

Segmented monthly PGN text

get_titled_players(title, offset=0, limit=100)

Paginated titled-player names

get_club_profile(url_id)

Public club profile

get_club_members(url_id, category="all_time", offset=0, limit=100)

Paginated club members

All endpoints and the upstream hostname are constructed internally. There is no tool accepting a URL, host, endpoint, filesystem path, or command.

Related MCP server: MCP Chess Server

Native installation

Python packages must be installed only in a virtual environment. Python 3.12 or newer is required.

python3.12 -m venv .venv
.venv/bin/python -m pip install --require-hashes -r requirements.txt
.venv/bin/python -m pip install --require-hashes -r requirements-build.txt
.venv/bin/python -m pip install --no-deps --no-build-isolation -e .

Run the local stdio server:

.venv/bin/chess-com-mcp

For direct HTTP on loopback, generate a token and set the required exact Host value:

MCP_TOKEN="$(.venv/bin/python -c 'import secrets; print(secrets.token_urlsafe(32))')"
export MCP_TOKEN
export CHESS_COM_MCP_AUTH_TOKENS="$(.venv/bin/python -c 'import json,os; print(json.dumps({"codex-local": os.environ["MCP_TOKEN"]}))')"
export CHESS_COM_MCP_ALLOWED_HOSTS=127.0.0.1:8765
.venv/bin/chess-com-mcp --transport http

The raw HTTP listener has no TLS. Keep it on loopback unless a trusted TLS reverse proxy protects it.

Configuration

Variable

Default

Rules

CHESS_COM_MCP_TRANSPORT

stdio

stdio or http; --transport overrides it

CHESS_COM_MCP_BIND_HOST

127.0.0.1

IPv4 or IPv6 literal only; hostnames and interface names are rejected

CHESS_COM_MCP_PORT

8765

1024..65535

CHESS_COM_MCP_AUTH_TOKENS

unset

HTTP requires a nonempty JSON map; each unpadded base64url token must decode to at least 32 bytes

CHESS_COM_MCP_ALLOWED_HOSTS

unset

HTTP requires comma-separated exact Host header values; no wildcard

CHESS_COM_MCP_ALLOWED_ORIGINS

unset

Optional comma-separated exact http:// or https:// origins; a missing Origin is accepted

CHESS_COM_MCP_TIMEOUT_SECONDS

20

1..60 seconds

CHESS_COM_MCP_MAX_RESPONSE_BYTES

10485760

Decoded upstream response ceiling, 65536..10485760 bytes

CHESS_COM_MCP_LOG_LEVEL

WARNING

DEBUG, INFO, WARNING, or ERROR

Agent names may contain ASCII letters, digits, _, and -, with length 1..50. Tokens must be unique. Every configured agent has the same read-only permissions. Tokens are accepted only in the Authorization: Bearer ... header and every /mcp request is authenticated. /healthz is intentionally unauthenticated and always returns {"status":"ok"}.

Binding to 0.0.0.0, ::, or any other non-loopback address emits a warning because the internal listener is plaintext HTTP. HTTP startup fails closed when either authentication tokens or the Host allowlist is absent.

Docker image

Build the digest-pinned, multi-stage image locally:

docker build -t chess-com-mcp:local .

The final image runs as UID/GID 10001, contains only runtime dependencies, removes Python and operating-system package managers, and defaults to chess-com-mcp --transport http. Override the command to use stdio or other supported CLI arguments.

Docker Compose on localhost

Generate a bearer token and supply its agent map from the invoking shell; do not commit it to a file:

MCP_TOKEN="$(.venv/bin/python -c 'import secrets; print(secrets.token_urlsafe(32))')"
export MCP_TOKEN
export CHESS_COM_MCP_AUTH_TOKENS="$(.venv/bin/python -c 'import json,os; print(json.dumps({"codex-local": os.environ["MCP_TOKEN"]}))')"
docker compose up --build -d

The supplied docker-compose.yml starts only chess-com-mcp. The process binds 0.0.0.0:8765 inside the container, while Docker publishes it only to 127.0.0.1:8765 on the host. The MCP endpoint is therefore http://127.0.0.1:8765/mcp; it is not reachable from other LAN devices. Bearer authentication remains mandatory because the connection is unencrypted HTTP. Reverse proxies and TLS termination are infrastructure concerns and can be supplied separately according to the user's environment.

The application constructs requests only below https://api.chess.com/pub, uses GET, verifies TLS, ignores proxy environment variables, refuses redirects, and bounds concurrency, retries, time, and decoded bytes. If the Docker host needs a network-level outbound allowlist in addition to this application boundary, enforce TCP 443 access to Chess.com's API at the host firewall or egress gateway.

Codex configuration

Export the token on the Codex device under a dedicated environment variable, then add the server to ~/.codex/config.toml:

export CHESS_COM_MCP_TOKEN='the-token-for-this-agent'
[mcp_servers.chess_com]
url = "http://127.0.0.1:8765/mcp"
bearer_token_env_var = "CHESS_COM_MCP_TOKEN"
required = true

Restart Codex after changing its environment or MCP configuration. This follows the official Codex MCP configuration. Never put the token in the URL, TOML file, command-line arguments, cookies, or source control.

For local stdio instead:

[mcp_servers.chess_com_local]
command = "/absolute/path/to/chesscom-mcp/.venv/bin/chess-com-mcp"

Rotation and revocation

Generate a different random token for each agent. To rotate one agent, replace only that map entry in the host environment and recreate the MCP container. To revoke an agent, remove its entry and recreate the container:

docker compose up -d --force-recreate chess-com-mcp

Treat the environment of the Docker host and Codex process as secret-bearing. Avoid .env files, shell history, logs, screenshots, and process arguments that disclose tokens.

Development and verification

Install development tooling in the same project virtual environment:

.venv/bin/python -m pip install --require-hashes -r requirements-dev.txt
.venv/bin/python -m pip install --no-deps --no-build-isolation -e .

Run the offline checks:

.venv/bin/ruff format --check src tests     # Verifies source and test files follow Ruff formatting without modifying them.
.venv/bin/ruff check src tests              # Checks source and test files for linting errors and unsafe patterns.
.venv/bin/mypy src                          # Statically checks type annotations in the source code.
PYTHONPATH=src .venv/bin/pytest --cov=chess_com_mcp --cov-report=term-missing       # Runs tests and reports coverage, including untested lines.
.venv/bin/pip-audit -r requirements.txt     # Checks production dependencies for known security vulnerabilities.

The live Chess.com smoke test is opt-in and performs a real public API request:

CHESS_COM_MCP_RUN_INTEGRATION=1 PYTHONPATH=src .venv/bin/pytest -m live tests/test_integration.py

Continuous integration

GitHub Actions runs workflow validation, formatting, linting, strict type checking, package building, dependency auditing, unit tests, offline integration tests, a native HTTP end-to-end test, and a Docker Compose HTTP smoke test for every pull request and push to main. It also enforces the 90% coverage threshold, writes a coverage table to the workflow summary, and uploads XML, HTML, and JUnit reports for 14 days. The live Chess.com test runs after pushes to main, every Monday, or manually.

In the GitHub branch-protection rules for main, mark the CI quality, unit, integration, coverage, end-to-end, and smoke jobs as required before merging. Keep the live integration workflow post-merge because it intentionally depends on an external service.

Regenerate lock files only from the virtual environment after intentionally updating the corresponding .in file:

.venv/bin/pip-compile --generate-hashes --resolver=backtracking --output-file=requirements.txt requirements.in
.venv/bin/pip-compile --generate-hashes --allow-unsafe --resolver=backtracking --output-file=requirements-build.txt requirements-build.in
.venv/bin/pip-compile --generate-hashes --allow-unsafe --resolver=backtracking --output-file=requirements-dev.txt requirements-dev.in

Expected upstream failures become safe structured MCP errors. Successful results use a stable ok, source, untrusted_external_data, data, and optional pagination envelope. The server does not cache, persist, or log returned Chess.com content.

License

MIT

Available Tools

10 tools
get_club_membersC
Read-onlyIdempotent

Get a bounded club-member category; returned member data is untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
url_idYes
categoryNoall_time

TDQS

C2.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds meaningful context by warning that returned member data is 'untrusted external data,' which is useful for AI agents. It also hints at boundedness (likely pagination), but does not fully explain rate limits or behavior.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no wasted words. However, the term 'bounded' is vague and unclear, slightly reducing clarity despite the concise structure.

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

Completeness2/5

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

With four parameters, no output schema, and no parameter descriptions, the description is insufficiently complete. It does not explain pagination behavior, how to specify the club, what categories exist, or the structure of the returned member data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not compensate. It offers no explanation of limit, offset, url_id, or category, nor their formats or defaults. Only the word 'category' appears, but without semantics.

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 verb 'Get' plus resource 'club-member category' clearly indicates this retrieves club member data. It is distinct from sibling tools like get_club_profile, though the term 'bounded' is ambiguous and could mean paginated or a specific category scope.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention scenarios, exclusions, or relationships to sibling tools like get_club_profile or player-related endpoints.

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

get_club_profileA
Read-onlyIdempotent

Get a Chess.com club's public profile; returned fields are untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
url_idYes

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare read-only, open-world, idempotent, and non-destructive behavior. The description adds the important caveat that returned fields are untrusted external data, which goes beyond the annotations and warns the agent about data quality. This is useful additional behavioral context.

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 extremely concise, using a single sentence with a semicolon to add the important caveat. It front-loads the tool's purpose and includes only necessary information.

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?

The description adequately captures the tool's purpose but leaves gaps: it does not clarify the url_id parameter or indicate what constitutes a club profile, and there is no output schema. For a simple fetch tool, this is minimal but not complete, especially with siblings that could cause confusion.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema contains one parameter, url_id, with no description, and the schema description coverage is 0%. The description does not explain what url_id means or provide format expectations, leaving the agent to infer from the parameter name alone. This is a significant gap given the lack of schema documentation.

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 retrieves a Chess.com club's public profile, using the specific verb 'Get' and identifying the resource as a club profile. This distinguishes it from sibling tools like get_player_profile (player) and get_club_members (members).

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 when one needs a club's public profile, but it does not explicitly contrast with siblings like get_club_members or provide when/when-not guidance. No exclusions or alternative tool recommendations are given.

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

get_player_current_daily_gamesA
Read-onlyIdempotent

Get one bounded page of current Daily Chess games as untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
usernameYes

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and openWorld. The description adds behavioral context about pagination ('bounded page') and the untrusted nature of the data, which is useful for agents deciding how to handle results.

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 that conveys the core functionality without any filler.

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 tool has few parameters and is a simple listing endpoint. The description covers pagination and data trustworthiness, and the sibling context makes the purpose clear, though it does not detail the return structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero schema description coverage, the description does not compensate by explaining the username, limit, or offset parameters. The phrase 'bounded page' vaguely suggests pagination but does not clarify parameter semantics.

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 retrieves a bounded page of current Daily Chess games, using a specific verb and resource. It distinguishes itself from sibling tools like game archives or monthly games by specifying 'current Daily Chess games' and 'bounded page'.

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?

No guidance is provided on when to use this tool versus alternatives like get_player_game_archives or get_player_games_by_month. The description does not mention exclusions or specific scenarios.

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

get_player_game_archivesA
Read-onlyIdempotent

List normalized monthly Chess.com game archives; upstream data is untrusted.

ParametersJSON Schema
NameRequiredDescriptionDefault
usernameYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the read-only, idempotent, open-world, and non-destructive properties. The description adds valuable context by stating 'upstream data is untrusted,' warning the agent that the external source may be unreliable, and 'normalized' indicating output standardization, which are not present in annotations.

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 two short sentences with no filler. The first sentence clearly states the action and object; the second provides an important trust caveat. Every word earns its place.

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 tool is a simple listing operation with one parameter, rich safety annotations, and no output schema. The description provides enough core information—list, monthly, archives, normalized, untrusted—to set expectations, though it could mention the return structure or the relationship to the game-fetching siblings for fuller completeness. Overall acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has a single required `username` parameter with zero description coverage. The tool description does not explain anything about the parameter, such as type expectations, validation, or constraints. The parameter is self-explanatory from its name, but the description fails to compensate for the lack of schema description as required for low 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 uses the specific verb 'List' and identifies the resource as 'normalized monthly Chess.com game archives', clearly distinguishing it from sibling tools like get_player_games_by_month which fetch actual game data. It also adds the relevant qualifier 'normalized' to convey a transformation behavior.

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 clearly states what the tool does but does not explicitly explain when to prefer this over sibling tools such as get_player_games_by_month or get_player_games_pgn_by_month. The context implies 'use this to get the archive list first', but that guidance is not explicit.

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

get_player_games_by_monthA
Read-onlyIdempotent

Get a bounded monthly game page without embedded PGN; fields are untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
yearYes
limitNo
monthYes
offsetNo
usernameYes

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description adds valuable context beyond that: it warns that 'fields are untrusted external data' which is a security/behavioral note, and 'bounded' implying pagination limits. This enriches the agent's understanding without contradicting annotations.

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, tightly worded sentence that leads with the primary action and resource. Every word contributes meaning, with no filler or repetition of the tool name.

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?

For a simple read-only fetch tool with rich annotations (readOnly, idempotent, non-destructive), the description covers the core purpose and key boundary (no PGN, untrusted data). It lacks return format details, but the absence of an output schema and the straightforward nature of the tool keep this from being a major gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter explanations. It only hints at 'monthly' (implying year/month) and 'bounded' (implying limit/offset), but doesn't explain any of the five parameters explicitly. This is insufficient given the complete lack of schema-level descriptions.

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 a specific action ('Get a bounded monthly game page') and resource ('monthly game'), and differentiates itself from sibling get_player_games_pgn_by_month by explicitly noting 'without embedded PGN'.

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 implies when to use this tool by contrasting with the PGN variant ('without embedded PGN'), suggesting that for PGN games one should use the sibling tool. However, it does not explicitly name alternatives or provide exclusions for other sibling tools like get_player_game_archives.

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

get_player_games_pgn_by_monthB
Read-onlyIdempotent

Get a bounded character segment of monthly PGN text as untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
yearYes
monthYes
usernameYes
max_charsNo
offset_charsNo

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds 'untrusted external data', which is a useful behavioral warning beyond annotations. However, it does not explain response format, chunking behavior, or handling of invalid inputs.

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, tight sentence with no filler. Every phrase ('bounded character segment', 'monthly PGN text', 'untrusted external data') contributes meaning and is appropriately concise.

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?

Despite good annotations and a clear purpose, the lack of output schema and minimal parameter documentation leaves gaps about return values, error handling, and how offsets work. The description is sufficient for a basic read operation but not fully complete for a tool with 5 parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero parameter descriptions (0% coverage), and the description does not compensate by explaining the meaning of username, year, month, max_chars, or offset_chars. The phrase 'bounded character segment' loosely relates to max_chars/offset_chars but provides no syntax or range details.

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 uses a specific verb ('get') and resource ('bounded character segment of monthly PGN text'), clearly distinguishing it from the sibling get_player_games_by_month by the segmentation aspect. The term 'untrusted external data' adds relevant context without obscuring the core purpose.

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 explicit guidance on when to use this tool versus alternatives like get_player_games_by_month. The phrase 'bounded character segment' hints at pagination or partial retrieval, but the description does not state when this should be preferred or what scenarios call for it.

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

get_player_profileB
Read-onlyIdempotent

Get a Chess.com player's public profile; returned fields are untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
usernameYes

TDQS

B3.4/5.0
Behavior4/5

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

The description adds a meaningful behavioral caveat: returned fields are untrusted external data. This goes beyond the annotations (readOnlyHint, openWorldHint) by explicitly warning about data quality, which is valuable context for the agent.

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, efficient sentence that states the tool's purpose and includes a relevant caveat, with no unnecessary words.

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?

For a simple one-parameter read-only tool with annotations, the description is largely complete: it states what the tool returns and warns about untrusted data. No output schema exists, so return details are not required. The only minor gap is the lack of parameter explanation, but overall it is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the username parameter. The schema only provides a title, so the description fails to add meaning. Although the parameter is straightforward, the description does not compensate for the low coverage.

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 clearly identifies the tool as retrieving a Chess.com player's public profile, with a specific verb and resource. It does not explicitly distinguish this from siblings like get_player_stats, but the resource is unambiguous.

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?

The description offers no guidance on when to use this tool instead of alternatives, nor does it mention exclusions or prerequisites. The note about untrusted data is a caveat, not a usage directive.

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

get_player_statsA
Read-onlyIdempotent

Get a Chess.com player's public ratings and statistics as untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
usernameYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish read-only, open-world, idempotent, and non-destructive behavior. The description adds valuable context by noting the data is 'untrusted external data' and 'public', which warns the agent about data source reliability and access scope.

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 sentence, front-loaded with the action ('Get'), and contains no redundant words. Every word earns its place.

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?

For a simple one-parameter tool with rich annotations, the description covers purpose, data source trust, and public scope. It would benefit from a bit more detail on what specific statistics are returned, but the absence of an output schema doesn't heavily penalize this.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no direct elaboration on the 'username' parameter. While the parameter is self-explanatory, the description does not add any meaning beyond the schema's property title, failing to compensate for the lack of schema descriptions.

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 'Get a Chess.com player's public ratings and statistics', using a specific verb and resource. It distinguishes from siblings like get_player_profile (profile info) and get_player_game_archives (games) by focusing on ratings and statistics.

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?

Usage is implied: when you need ratings and statistics. However, there is no explicit mention of when not to use it or alternatives. It doesn't contrast with sibling tools like get_player_profile, which might also contain ratings.

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

get_titled_playersA
Read-onlyIdempotent

Get a bounded list of players with a Chess.com title; names are untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
titleYes
offsetNo

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare this as a read-only, idempotent, safe operation. The description adds useful context beyond those annotations: the result is bounded (implying pagination via limit/offset) and that the returned names are untrusted external data, warning the agent about data quality.

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?

A single sentence with no redundant words. The key facts are front-loaded: action, resource, and the important caveat about untrusted data. Every element earns its place.

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 the simple parameter set and strong annotations, the description provides adequate context for most use cases. It highlights the bounded nature and the untrusted data caveat, but lacks accepted title values and explicit pagination guidance. Still, the tool is simple enough that this is nearly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage at 0%, the description fails to compensate. It clarifies that 'title' refers to a Chess.com title, but provides no enumeration of accepted values (e.g., GM, IM). The limit and offset parameters are not explained at all beyond the word 'bounded,' leaving the agent to infer their semantics.

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 identifies the action (Get), the resource (players with a Chess.com title), and a key constraint (bounded list). It distinguishes itself from sibling tools by focusing on titled players rather than individual profiles, stats, or game data.

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 intended use is implied: it is the tool for retrieving a list of titled players, not for individual player data. However, the description does not explicitly state when to use this over alternatives or mention any exclusions, such as not needing a specific player ID.

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

is_player_onlineA
Read-onlyIdempotent

Check a Chess.com player's public online status; the response is untrusted external data.

ParametersJSON Schema
NameRequiredDescriptionDefault
usernameYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds valuable context by noting that the response is 'untrusted external data', which conveys reliability and security considerations beyond the structured annotations. No contradiction.

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, concise sentence that front-loads the essential purpose and packs in an important trust caveat. Every word earns its place.

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?

For a simple one-parameter read-only tool with rich annotations, the description adequately covers what it does and the nature of the data. It doesn't describe the return value format, but the absence of an output schema and the obvious boolean-like result make this acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not add any semantic detail about the 'username' parameter beyond what the schema already provides. It doesn't mention format, case sensitivity, or validation, so it fails to compensate for the low 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 clearly states the action ('Check') and specific resource ('a Chess.com player's public online status'), which unambiguously distinguishes it from sibling tools like get_player_profile or get_player_stats. The purpose is immediately understandable.

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 gives a clear context for using the tool (checking online status), but it does not explicitly state when to prefer it over alternatives or provide exclusions. Sibling tools are not referenced, so there is no comparative guidance.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 10 tool updatesv0.1.0
    • First observedget_club_members
    • First observedget_club_profile
    • First observedget_player_current_daily_games
    • First observedget_player_game_archives
    • First observedget_player_games_by_month
    • First observedget_player_games_pgn_by_month
    • First observedget_player_profile
    • First observedget_player_stats
    • First observedget_titled_players
    • First observedis_player_online

TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: player profile, stats, online status, current games, archives, monthly games, PGN text, titled players, club profile, and club members. Even the two monthly game tools are clearly separated by format (JSON vs. PGN).

Naming Consistency5/5

All tools follow a consistent get_<resource>_<detail> pattern using snake_case. Prefixes are uniform (get_player_*, get_club_*, get_titled_players), making the tool surface predictable and easy to navigate.

Tool Count5/5

With 10 tools covering player, game, club, and titled-player data, the set is well-scoped for a Chess.com data server. Each tool provides a meaningful, non-redundant data retrieval capability.

Completeness4/5

The server covers the most common read-only Chess.com operations: profile, stats, online status, games (current, archived, monthly, PGN), titled players, and club info. Minor gaps exist (e.g., leaderboards, tournaments, or single-game lookup), but the core domain surface is well represented.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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