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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. Beyond that, the description discloses the return content (added date, last change, releases since) and interprets `since` as the user's install date or installed version, which is real behavioral context for a tool with no output schema. It omits anything about response size or limits, which is a minor gap.

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?

It is short with no filler, but the lead sentence is a grammatical fragment and the single most actionable instruction ("Call it before updating an installed item") is buried second. Front-loading the usage instruction would make it materially easier to act on.

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 three-parameter read-only lookup with no output schema, the definition supplies purpose, the decision trigger, and the interpretation of the ambiguous `since` argument. The only omission, the `type` enum meaning, is partly self-evident from the enum values themselves.

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 67%: `name` and `since` are documented, `type` (with an enum) is not. The description adds genuine meaning beyond the schema for `since` by explaining it should be the user's install date or the library version they have, which the schema's format-only note does not convey. `type` remains unexplained in both places.

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 what the tool returns: an item's added/last-changed dates plus library releases since a given point. That is specific enough to distinguish it from get_item (item details) and get_install_command (install instructions), though it never names a sibling explicitly. The opening sentence is a fragment that delays the actual purpose statement.

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?

"Call it before updating an installed item" gives a concrete trigger condition, and the follow-up explains what to pass as `since` in that scenario. It stops short of naming alternatives (e.g. get_item or get_install_command) or saying when not to call it, so it is clear context without explicit routing.

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