get_coffee_chat_messages

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

With no annotations provided, the description carries the full burden of behavioral disclosure, yet says nothing about ordering, pagination, read/unread side effects, or required permissions beyond what 'Get' implies. A read-only getter is a modest case, but the disclosure is still thin.

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?

A single short sentence that is front-loaded with the verb and resource and contains no filler. It is efficient, though correspondingly terse.

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?

With no output schema, no annotations, and no mention of return shape, message ordering, or pagination, the definition is too sparse for an agent to know what the response will look like or how to handle large conversations.

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 (request_id) with 100% schema description coverage, so the schema already fully documents it. The description adds no format, sourcing, or example detail beyond the schema, which is the baseline-3 case.

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 ('Get') and resource ('messages in a coffee chat conversation'), which cleanly separates it from the write sibling send_coffee_chat_message. It does not, however, explicitly distinguish itself from get_coffee_chat_requests, leaving the agent to infer the conversation-vs-message-list distinction from the names alone.

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?

There is no statement of when to use this tool versus alternatives such as get_coffee_chat_requests (list conversations) or respond_coffee_chat. Any usage guidance is left entirely to inference from the tool name.

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