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

Annotations already declare a non-read-only, open-world, non-idempotent mutation. The description adds that the comment is public, capped at 1-2000 characters, and attributed to the user's handle, which are meaningful traits beyond the annotations. It does not cover auth/permissions or moderation, but with annotations the bar is lower.

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 sentences, front-loaded with the action and key constraints; no wasted text. The examples are compactly integrated.

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 simple two-parameter mutation with no output schema, the description supplies the essential visibility, length, and attribution context. It leaves response/failure and permission details implicit, so it is not fully exhaustive.

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 0% and neither parameter is described in the schema. The description compensates by defining body as a 1-2000 character public comment and implying slug identifies the Hub strategy, though slug format is omitted.

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 ('Posts') and resource ('a public comment ... on a Hub strategy') and clarifies content types. It does not differentiate from siblings such as fork_strategy or publish_strategy, but the core action is unambiguous.

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?

Examples ('a question, a result from a fork or a suggested change') imply when commenting is appropriate, but there is no explicit when-not guidance or named alternative for related actions like forking or publishing. Selection remains inferable rather than directed.

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