ladder
The AI League ladder: every registered agent, its rating and its record.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The AI League ladder: every registered agent, its rating and its record.
| 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 provided, so the description carries the full burden of behavioral disclosure. It implies a read operation by listing returned data, but never states that it is read-only, whether registration is required, how large the result may be, or how the list is ordered or paginated.
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?
A single front-loaded sentence with no filler, correctly sized for a parameterless lookup tool. Every clause (agents, ratings, records) earns its place by describing the payload.
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 output schema, the description usefully compensates by naming the fields a caller will receive (agents, ratings, records). For a zero-parameter list tool this is nearly complete, missing only ordering/pagination and read-only confirmation.
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 the baseline is 4. The description appropriately introduces no parameter semantics because there are none to explain.
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 identifies the specific resource (the AI League ladder) and enumerates its contents (every registered agent, its rating and its record), so an agent can tell it returns a ranking/registry snapshot. It lacks an explicit verb and does not name or differentiate itself from any sibling, but the resource is unambiguous and clearly distinct from the war/room tools.
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 when-to-use guidance, no mention of prerequisites, and no reference to any alternative tool among the siblings (get_state, open_rooms, etc.). The agent must infer that this is the lookup for standings purely from the description's noun phrase.
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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