sports__event_countdown
[台灣運動賽事日程資料庫]距離賽事開始還有幾天(預設 2027 世界 12 強)。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
[台灣運動賽事日程資料庫]距離賽事開始還有幾天(預設 2027 世界 12 強)。
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose one genuinely useful behavioral fact: the default event when no query is given (2027 WBSC Premier12). It does not clarify that the call is a read-only lookup, nor the exact return shape or whether the default applies only when q is empty.
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 line with zero filler, and the bracketed database qualifier sets scope before the action. It is efficient but so terse that brevity shades into under-specification.
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 parameterized lookup with no annotations and no output schema, the description should at minimum explain the q parameter and the nature of the returned value. It omits both, leaving an agent unable to construct a non-default query with confidence.
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?
Schema coverage is 0% for the single parameter q, and the description never explains what q accepts (event name? slug? keyword?) or its expected format. The mention of a default event hints that q is optional, which partially compensates, but syntax and matching behavior remain undocumented.
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 states a concrete verb+resource: it returns how many days remain until a sports event begins, scoped to a Taiwan sports-event database. That distinguishes it from siblings like sports__get_sports_event or sports__sports_calendar, though it never names those alternatives explicitly.
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 use this tool versus list_sports_events, get_sports_event, or whats_on. The only implicit cue is that it returns a countdown rather than event details, leaving routing entirely to inference.
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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