current_tournament
Which Grand Slam is in progress right now, how many matches are decided, and how fresh the results are.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Which Grand Slam is in progress right now, how many matches are decided, and how fresh the results are.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does add the useful detail that results include freshness ('how fresh the results are'), which hints at data recency expectations. However, it does not explicitly state that this is a read-only query or describe any caching/update behavior.
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 sentence with no filler, and the primary subject (current Grand Slam) is front-loaded. Slight clarity cost comes from the interrogative phrasing, but it remains tight and efficient.
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 no-parameter, no-output-schema tool, the description conveys the main output concepts: tournament identity, match count, and freshness. It is adequate but does not specify the exact format or unit of freshness, and it misses a chance to explicitly differentiate itself from how_4grand_works.
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 zero parameters, so there is nothing for the description to add to the input schema. The baseline of 4 applies because parameter semantics are trivially complete.
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 clearly states what the tool reports: the current Grand Slam, number of decided matches, and result freshness. It lacks an explicit verb like 'returns' or 'gets', and is phrased as questions, but the intent is unambiguous and distinguishable from siblings like public_pool_standings.
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?
The phrasing 'in progress right now' implies this tool is for current-state queries, but there is no explicit statement of when to use it versus siblings or when not to use it. No alternatives are named, so guidance is only implied rather than stated.
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.
Each tool answers a distinctly different question: current tournament status, platform explanation, and specific pool standings. No overlap in purpose, so an agent can easily choose the correct tool.
current_tournament and public_pool_standings follow a consistent adjective_noun pattern, but how_4grand_works breaks that pattern with a complete phrase. The names are readable but not fully uniform.
Three tools is at the low end of the ideal range, but each has a clear role and the server feels properly scoped as a small informational service. It is not too thin to be useful.
The set covers the basic informational loop: what is it, what is happening now, and how to view a public pool. Notable gaps include historical tournament data, private or club pool functionality, and match-level details, which require workarounds.