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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety behavior is covered. The description adds useful behavioral scope: it returns every tracked version/cycle, with specific lifecycle fields. No contradiction with the annotations.

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 efficient sentences: the first front-loads the core action and returned data, and the second provides a realistic usage phrase. There is no filler or redundant explanation.

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 one well-documented required parameter, full annotations, and an output schema, the description sufficiently covers what the tool returns and when to use it. The phrase 'full version history' and the field list make the tool's behavior unambiguous for an agent.

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?

The input schema fully documents the only parameter, including a slug/name example. The description adds only 'one product' as scope, which is marginal but not necessary since schema coverage is 100%.

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 and resource: 'Get the full version history for one product' and enumerates the returned fields (release date, EOL date, support status, EOL Risk Score). This clearly distinguishes it from siblings like check_eol and get_upcoming_eol.

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?

The 'Use for "give me the whole EOL schedule for X"' clause gives an explicit, natural-language trigger for when to call this tool. It does not explicitly name alternatives or exclusions, but the usage context is clear enough among the sibling tools.

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