chat_with_assistant

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Chat with a specific assistant' implies a conversational interaction but reveals nothing about response format, latency, rate limits, authentication requirements, or whether this initiates a new chat or continues an existing one. For a tool with 4 parameters and no output schema, this is a significant transparency gap.

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 a single, efficient phrase that gets straight to the point with zero wasted words. It's appropriately sized for a tool with a clear primary function and doesn't bury key information. Every word earns its place by communicating the core action and target resource.

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?

Given the complexity of a chat tool with 4 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what 'chat' operationally means, what kind of response to expect, how audio functionality works, or how this integrates with the broader assistant system. The agent would need to guess about important behavioral aspects not covered in the minimal description.

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 the schema already documents all parameters thoroughly. The description adds no additional meaning about parameters beyond what's in the schema (e.g., it doesn't explain relationships between assistant_id, thread_id, and message). With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but doesn't detract either.

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 'Chat with a specific assistant' clearly states the action (chat) and resource (assistant), making the purpose immediately understandable. It distinguishes this from sibling tools like create_assistant or update_assistant by focusing on interaction rather than management. However, it doesn't specify what 'chat' entails (e.g., text-based conversation, AI response generation), which prevents a perfect score.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing assistant or thread), nor does it differentiate from potential overlapping tools like make_call for voice interactions. With many sibling tools available, this lack of context leaves the agent guessing about appropriate usage scenarios.

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