list-contests
Retrieve contest listings from note.com to discover and participate in available competitions.
Instructions
コンテスト一覧を取得する
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve contest listings from note.com to discover and participate in available competitions.
コンテスト一覧を取得する
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It only states the action ('取得する' - get) without describing what '一覧' (list) entails - whether it returns all contests, is paginated, requires authentication, has rate limits, or what format the data comes in. For a read operation with zero annotation coverage, this is insufficient.
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 a single, efficient Japanese sentence that directly states the tool's purpose without any wasted words. It's appropriately sized for a simple list operation and front-loads the essential information.
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?
For a read operation with no annotations and no output schema, the description is incomplete. It doesn't explain what data is returned, in what format, whether authentication is required, or any behavioral characteristics. While the tool is simple (0 parameters), the description should provide more context about the operation's behavior and results.
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?
The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of parameters. The description doesn't need to compensate for any parameter gaps. A baseline of 4 is appropriate since there are no parameters to explain beyond what the schema already indicates.
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 'コンテスト一覧を取得する' (Get contest list) clearly states the verb ('取得する' - get) and resource ('コンテスト一覧' - contest list). It distinguishes from siblings like 'list-categories' or 'list-hashtags' by specifying contests, but doesn't explicitly differentiate from other list operations beyond naming the resource.
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 versus alternatives. There's no mention of prerequisites, timing, or comparison with other tools like 'search-all' or 'search-notes' that might also retrieve contest-related data. The description only states what it does, not when 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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