esports_teams
Search for esports teams on PandaScore by game and team name.
Instructions
Search esports teams on PandaScore.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| game | No | ||
| search | No | ||
| api_key | No |
Search for esports teams on PandaScore by game and team name.
Search esports teams on PandaScore.
| Name | Required | Description | Default |
|---|---|---|---|
| game | No | ||
| search | No | ||
| api_key | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It indicates a read operation ('Search'), but does not disclose authentication requirements (api_key is in schema but not explained), rate limits, or data behavior (e.g., pagination, result format).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (5 words) but at the expense of completeness. While there is no wasted text, it fails to provide necessary details, making it minimally viable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and three undocumented parameters, the description is severely lacking. It does not explain return values, parameter constraints, or any contextual details needed for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description adds no parameter information. The three parameters (game, search, api_key) are undocumented, leaving the agent without guidance on how to use them effectively.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the action ('Search') and resource ('esports teams') and specifies the data source ('on PandaScore'). It is specific enough to distinguish from sibling tools like esports_matches or esports_players, but lacks additional context about scope or filtering.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 vs alternatives (e.g., esports_get_match, esports_players). There is no mention of prerequisites, best use cases, or when not to use it.
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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