List winners
list_winnersThe top 3 of recent ranked weeks (winners need at least 3 votes).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| weeks | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| weeks | Yes | ||
| next_steps | Yes |
list_winnersThe top 3 of recent ranked weeks (winners need at least 3 votes).
| Name | Required | Description | Default |
|---|---|---|---|
| weeks | No |
| Name | Required | Description | Default |
|---|---|---|---|
| weeks | Yes | ||
| next_steps | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint and non-destructive behavior, so the safety profile is covered. The description adds genuine behavioral context: a fixed limit of 3 results and a vote threshold of at least 3. It does not describe ordering (by votes presumably) or how 'recent' interacts with the weeks parameter, which is the more important unknown here.
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 short sentence with no waste, and the fixed top-3 scope is front-loaded ahead of the qualifying rule. It is efficient, though the parenthetical qualifier reads as an afterthought rather than integrated context.
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 an output schema present, return structure need not be explained, and annotations cover safety. Still missing is what makes a week 'ranked', what the ranking axis is, and how the weeks parameter scopes results — enough gaps that an agent must guess at the semantics of a nominally simple tool.
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 description coverage is 0%, so the description must compensate for the single 'weeks' parameter, but it only alludes to 'recent ranked weeks' without explaining what the parameter counts, that it defaults to 4, or what its 1–26 bounds mean. The word 'weeks' appears, yet its role as a lookback window is left ambiguous.
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 conveys the returned resource (top 3 of recent ranked weeks) and a qualifying rule (winners need at least 3 votes), but it is a noun-phrase fragment with no clear verb and never says 'winners' of what ranking. It partially distinguishes it from siblings like list_launch_weeks, but an agent cannot tell from the text alone what is being listed beyond 'top 3'.
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_launch_weeks or search_board, no prerequisites, and no exclusions. The only implicit cue is that it returns a fixed top-3 selection, leaving the choice between siblings 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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