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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds the downstream id-usage behavior but says nothing about ordering, pagination, or what happens for a chatbot with no suggested messages.

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 scope, with the second sentence adding a concrete follow-up step. No filler.

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 single-required-param read tool with full schema coverage and no output schema, the description covers what it is and what the result is used for. It could say more about the shape or ordering of the returned list, but nothing essential to calling it is missing.

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?

There is a single parameter (chatbot_id) with 100% schema description coverage, so the schema already carries the semantics. The description's 'a chatbot's suggested messages' confirms scope but adds no format or constraint detail beyond the schema.

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 names a specific verb ('List') and resource ('suggested messages') and adds a clarifying gloss — 'the clickable prompts shown to visitors' — that separates this from thread messages or other chatbot content. It does not explicitly contrast with sibling list tools, but the object being listed 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?

It gives clear workflow context: 'Use the returned id with update_suggested_message or remove_suggested_message,' which tells the agent this is a read-first step in a manage-messages flow. There are no explicit exclusions or alternate retrieval paths, so it stops short of a 5.

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