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esports_matches

Fetch esports matches from PandaScore for games such as LoL, CS:GO, and Dota2, with filters for match status and pagination.

Instructions

Get esports matches from PandaScore.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameNoe.g. lol, csgo, dota2
statusNorunning, upcoming, past
pageNo
per_pageNo
api_keyNo
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits, but it only states a generic 'Get esports matches'. It omits details such as authentication requirements, pagination behavior, rate limits, or whether the operation is read-only. This leaves significant gaps for an agent to understand the tool's behavior.

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 description is concise with a single sentence, avoiding unnecessary verbosity. However, it is too minimal to be fully valuable; a slightly longer description could include key details without harming conciseness.

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?

Given the tool has 5 optional parameters, no output schema, and no annotations, the description is insufficient. It does not explain the return format, filtering capabilities, pagination, or authentication, leaving the agent without enough context to use the tool correctly.

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 only 40% (game and status have descriptions). The tool's description adds no additional meaning beyond the schema, leaving parameters like page, per_page, and api_key unexplained. While the schema provides some descriptions, the description does not compensate for the missing parameter contexts.

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 states the action ('Get') and resource ('esports matches') along with the source ('PandaScore'), providing a basic understanding. However, it does not distinguish itself from sibling tools like esports_get_match, esports_players, etc., which all deal with esports data.

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 such as esports_get_match or esports_players. The description lacks any context about whether this is for listing matches, filtering, or other uses, making it hard for an agent to decide when to invoke this tool.

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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