Returns the ranked table, once with clean play and once with 5 percent of moves flipped at random.
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "tournament_standings"
}
}| 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?
Without annotations, the description correctly surfaces an important behavioral quirk: one table uses clean play and one flips 5% of moves randomly. However, it does not state whether the call is read-only, whether repeated calls are deterministic, or any other side effects.
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?
One compact sentence that puts the main action first and adds the random-flip detail without filler. Every word contributes to understanding the tool.
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?
The description explains what is returned but not the table's structure, how to interpret the flipped version, or whether prior actions such as tournament_enter are needed. For a simple no-parameter tool this is adequate but leaves details to inference.
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 and the schema is already complete, so the description has no parameter burden. This satisfies the baseline for a parameterless tool.
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 uses a clear verb ('Returns') and names the resource (ranked table) with the tool's evident purpose. It also distinguishes the two output variants, making the purpose specific, though it does not explicitly compare it to sibling 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?
No guidance is given about when to call this tool, whether tournament entry is required first, or how it compares to alternatives like tournament_enter. Usage must be inferred from the name.
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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