Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden, yet it only says the tool lists shutdown dates by month. It does not state whether the operation is read-only, what happens when the optional month parameter is omitted (required params = 0), how results are ordered or scoped, or whether the 'replacement schedule' element changes the return shape.

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 sentence that conveys purpose with no filler or repetition. It is efficient, though the bracketed title-style prefix compresses detail rather than adding structure.

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 tool with no annotations and no output schema, the description is too thin: it omits default behavior for the optional month, output shape, and any routing distinction from the overlapping models__upcoming_ai_model_shutdowns tool. The structured fields cannot fill these gaps on their own.

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 100% and the single month parameter already documents its YYYY-MM format, so the baseline of 3 applies. The description's '依月份' restates the same filtering idea without adding format or default-behavior detail beyond the schema.

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 specific verb (list) and resource (AI model shutdown dates), scoped to a monthly view, and the bracketed label adds that replacement scheduling is in scope. It is clear about what the tool returns, but it does not distinguish itself from the near-identical sibling models__upcoming_ai_model_shutdowns, leaving the agent to guess which one applies.

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, no stated prerequisites, and no mention of alternatives even though models__upcoming_ai_model_shutdowns and models__find_ai_model_replacement are obvious overlapping siblings. The agent is left to infer the selection rule from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.