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

No annotations are provided, so the description carries the full behavioral burden. It hints that only the question author may perform this, but says nothing about whether the action is reversible, whether it notifies participants, or how it interacts with existing answers – significant gaps for a mutation tool with zero annotation coverage.

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 short sentences, front-loaded with the action and actor. 'Closes the open-questions loop' is slightly decorative but does convey lifecycle context at minimal length.

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 full schema coverage and no output schema, the description is adequate to invoke the tool. However, it omits permission requirements, reversibility, and side effects, which an agent would need for a state-changing operation with no annotations.

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 100%, so both post_id and comment_id are already documented in the schema. The description adds no format, constraint, or relationship detail beyond what the schema provides, which is the expected baseline.

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 (accepts) and resource (a comment as the answer) and even identifies the actor ('Question author'), which makes the operation unambiguous. It does not name a sibling tool to differentiate against, so it falls short of a 5.

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 phrase 'Closes the open-questions loop' implies context (a question with an accepted answer), but there is no explicit when/when-not guidance or comparison to adjacent operations like suggest or mark_duplicate. Usage is inferable rather than stated.

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