Ladders and cups
list_laddersThe public ladder, sponsored cups and theater previews: status, theater, rules version, window, prize, entry rules.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_laddersThe public ladder, sponsored cups and theater previews: status, theater, rules version, window, prize, entry rules.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full burden of behavioral disclosure. It names returned fields (status, theater, rules version, window, prize, entry rules) but never confirms the operation is a read-only listing, nor mentions result volume, pagination, or whether the data is public/unauthenticated.
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?
It is a single short fragment with no wasted preamble, but it is grammatically incomplete and the word 'theater' appears twice ('theater previews ... theater'), muddying rather than tightening the field list. It is terse without being structured.
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?
With no parameters and no output schema, the description is the only source of return-value information, and it partially delivers by enumerating fields. However, for a list tool it omits scope (all ladders? public only?), whether cups and previews are always included, and any ordering or shape details.
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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter-level value could be added beyond what the empty schema already conveys.
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 is a noun phrase ('The public ladder, sponsored cups and theater previews') with no verb, so it only implies that this tool lists these collections. The enumerated fields hint at the returned data, but it never explicitly states that it retrieves multiple ladders/cups and does not distinguish itself from siblings like get_ladder, get_cup, or list_matches.
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?
There is no guidance on when to use this tool versus get_ladder, get_cup, or list_matches. The agent must infer from the word 'public' and the plural framing that this is a browse-all call, which is a thin basis for routing.
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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