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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new context: the data is curated from official vendor sources, and each record carries deadline, required action and sources, which tells the agent how trustworthy and actionable results are. No pagination or result-volume behavior is mentioned, keeping it below a 5.

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?

Two tight sentences, front-loaded with the returned resource types and followed by the use case. No filler, though the long comma-separated enumeration in the first sentence is dense and slightly harder to scan than a short lead clause would be.

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 five optional parameters, no output schema and a closed-world read-only profile, the description covers purpose, result shape and provenance adequately. It would be stronger if it stated the default result count or noted that unfiltered queries return the whole reviewed set, but nothing an agent needs to call it correctly is missing.

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 80% and the schema already explains query format, status semantics ('open' means upcoming or active) and vendor examples. The description adds no input-side meaning at all — its field list describes response shape rather than the five parameters — so the baseline 3 applies.

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 concretely enumerates what is returned — retirements, deprecations, breaking API changes, migration deadlines, access and price changes — each with model ids, deadlines, required action and sources. That is far more specific than the title, but it does not differentiate from siblings: 'access and price changes' overlaps with check_model_access and get_model_prices, and list_ai_shutdowns is never addressed.

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?

A single usage sentence exists ('Use it to check whether a model id in your code is being retired'), which gives a clear primary trigger. However, it covers only one narrow scenario, gives no when-not guidance, and names no alternative, leaving the agent to guess between this tool and check_model_access or list_ai_shutdowns.

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