get_comment_thread

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

With no annotations provided, the description carries the full burden and does well: 'Retrieve' signals a read-only operation, and the description discloses the returned fields and the required inputs. It does not mention edge cases like missing comments or permission failure, but for a simple read operation the core behavior is transparent.

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 description is compact and front-loaded. The opening sentence states the core action, the second gives usage context, the third lists what is returned, and the fourth covers prerequisites. Every sentence adds necessary value with no fluff.

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 two-parameter, read-only tool, the description is largely complete: it covers purpose, when to use, return contents, and input provenance. An output schema exists, so detailed return structure does not need to be spelled out. Minor gaps like sorting or auth expectations are not material for this simple tool.

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 0% and both parameters are bare strings, so the description must compensate. It does: doc_id is identified as the Google Doc's file ID, and comment_id is identified as coming from the Drive API. It also clarifies that both are required, giving the agent enough semantic grounding to supply correct values.

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: 'Retrieve the full reply chain for a comment.' It also enumerates the returned content (comment content, replies, quoted text, resolved status, author), making the tool's function unmistakable. This clearly distinguishes it from sibling mutation tools like reply_to_comment and resolve_comment.

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 description gives explicit guidance on when to use the tool: 'when you need to read a comment thread in full before deciding on a response or resolution.' It does not explicitly name alternative read tools or give negative usage cases, but the context is clear enough for an agent to select it appropriately.

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