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chesscom_player_live_games_base_time

Read-only

Get the source live-game archive selected by base time. The service calls Chess.com’s documented Published-Data API serially. This independent service is not affiliated with Chess.com; do not use results for AI training or dataset creation.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "username": "<username>",
      "base_time": "<base_time>"
    },
    "name": "chesscom_player_live_games_base_time"
  }
}

Input Schema

NameRequiredDescriptionDefault
usernameYesRequired source username.
base_timeYesRequired source base time.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered, but the description adds genuinely new context: dependency on Chess.com's documented Published-Data API, serial (rate-limited) upstream calls, no affiliation, and a restriction on downstream use of results. It stops short of disclosing result size or pagination 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?

Purpose is front-loaded in the first sentence and the remaining clauses are short and functional. The compliance boilerplate is useful but sits between the purpose and any call guidance, slightly diluting the structure.

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 output schema covers return values and annotations cover safety, so the description need not explain those. However, for a tool whose sole discriminator is the base_time parameter, leaving that vocabulary undefined is a real completeness gap relative to sibling archive 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?

Schema description coverage is 100%, so the baseline is 3, but those descriptions are tautologies ("Required source base time") and the description adds nothing about accepted values or format. With no enum on base_time, an agent still has to guess the valid time-control categories from external knowledge.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Get the source live-game archive selected by base time" names a verb and resource, but "archive" and "base time" are Chess.com-specific terms left undefined, so an agent cannot tell exactly what is returned or what a valid base_time is. It differentiates itself only implicitly from chesscom_player_live_games by the selection criterion, never explicitly.

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 on when to pick this over chesscom_player_live_games, chesscom_player_game_archives, or chesscom_player_game_month. The only usage constraint given is a licensing prohibition on AI training and a note that the upstream service is called serially, which is not tool-selection guidance.

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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