Audience leaderboard
get_leaderboardThe audience leaderboard: the most-liked and most-surprising characters.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_leaderboardThe audience leaderboard: the most-liked and most-surprising characters.
| 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?
Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds the ranking dimensions it exposes but says nothing about ordering, scope, freshness, or size of the result.
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 fragment with no wasted words. Its brevity is a virtue, though it reads as a fragment rather than a structured description.
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?
No output schema exists, so the description carries the burden of explaining what is returned; it names the ranking criteria but not the format, ordering, or result size. For a zero-parameter read tool this is adequate but leaves real gaps.
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 no parameter semantics to document and the baseline is 4. Nothing in the description misleads about inputs.
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 resource (an audience leaderboard) and its contents (most-liked and most-surprising characters), which is clearer than the title alone. It stops short of a verb or any differentiation from adjacent roster tools like list_cast or search_characters.
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 statement of when to consult this leaderboard versus other character-listing tools, and no prerequisites or caveats are given. Usage is only inferable from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.