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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds real context beyond that: the response bundles versions, next release, and actionable changelog items (deprecations, new APIs, AI/MCP), and it advises a once-per-task cadence. It stops short of describing response shape or freshness/staleness guarantees.

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?

The core purpose is front-loaded in the first clause, and the long middle sentence is dense with enumerated scope rather than filler. Minor redundancy exists in the closing routing sentence versus the earlier 'use before writing' guidance, but every sentence carries information.

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 zero-required-parameter read tool with no output schema, the description covers what the tool returns and when to reach for it, plus the sibling alternative. The only gap is that it does not explain how the limit parameter interacts with output volume, though the schema already handles that.

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 all three optional parameters are already documented, including the enum values for area and the format/default notes for since and limit. The description only restates that passing since or area yields fuller detail, adding a small amount of behavioral meaning rather than new parameter semantics. Baseline 3 is appropriate.

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-and-resource combination (retrieve current versions and recent changes) and enumerates the exact scope: WordPress, Gutenberg, PHP, WP-CLI, MCP Adapter, next release, and recent changes. It explicitly differentiates itself from the sibling wp_news by routing articles and announcements there.

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?

Gives explicit when-to-use conditions ('before writing or reviewing WordPress code, or when a version or API question comes up') plus a frequency guideline ('once per task is enough') and an explicit alternative with its condition ('for articles and announcements, use wp_news'). Nothing is left to inference about tool selection.

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