ai_model_shutdown_calendar
依月份列出模型下架日。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| month | No | YYYY-MM |
依月份列出模型下架日。
| Name | Required | Description | Default |
|---|---|---|---|
| month | No | YYYY-MM |
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 behavioral burden but only implies a read-only listing. It does not state what happens when month is omitted (the parameter is optional), whether the result is a calendar of all known dates, or how it relates to the 'upcoming' sibling.
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 the scope front-loaded and no filler. It is efficient, though arguably under-specified rather than maximally informative.
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 no annotations and no output schema, the description must resolve ambiguity about the optional month parameter and the overlap with upcoming_ai_model_shutdowns; it does neither, leaving an agent to guess the correct tool and call pattern.
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 100%, so the YYYY-MM format for month is already documented in the schema. The description adds the notion of grouping by month but does not address the fact that month is optional or what the default range is.
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?
States a specific verb (列出/list) and resource (模型下架日/model shutdown dates) with a scoping modifier (依月份/by month), so the operation is identifiable. It does not, however, differentiate itself from the sibling upcoming_ai_model_shutdowns, which appears to cover overlapping subject matter.
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 when-to-use guidance and no mention of alternatives such as upcoming_ai_model_shutdowns or list_ai_models. The agent must infer selection criteria entirely from the tool 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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