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chesscom_tournament_round_group

Read-only

Get one group in a tournament round. 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": {
      "slug": "<slug>",
      "round": "<round>",
      "group": "<group>"
    },
    "name": "chesscom_tournament_round_group"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesRequired source slug.
groupYesRequired source group.
roundYesRequired source round.

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

B3.2/5.0
Behavior3/5

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. The description adds real context beyond them: the backend is Chess.com's Published-Data API, calls are made serially (implying latency), and the service is unaffiliated. It still says nothing about failure modes, missing groups, or rate limits.

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

Conciseness3/5

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

The purpose is correctly front-loaded in one short sentence. The two following sentences are service-level boilerplate (non-affiliation, AI-training restriction) that is defensible but does not help an agent invoke this specific tool correctly.

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?

An output schema exists, so return values need not be explained, and all parameters are documented in the schema. What an agent still lacks is the meaning of the group identifier and what happens if the group does not exist, which is a modest gap for a read-only lookup.

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 coverage is 100% and all three parameters carry descriptions, so the baseline of 3 applies. The description adds no extra meaning for slug, round, or group — notably it never explains what a "group" identifier looks like or how it relates to the round.

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?

"Get one group in a tournament round" gives a specific verb (get) and a precisely scoped resource (a group nested inside a tournament round), which makes it distinguishable from a round-level sibling. It stops short of naming an alternative tool, so it is clear but not fully differentiated.

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 statement of when to reach for this tool versus the round-level or tournament-level siblings, and no preconditions such as needing a valid slug or an existing group identifier. The only usage constraint given (no AI training/dataset use) is a legal restriction, 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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