create_chat_thread

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

No annotations are provided, so the description carries the full burden. It discloses that it returns a threadId for use with ask_in_thread, and that the title is auto-generated by the platform. This covers the key behavioral output and platform behavior, though it could mention persistence or side effects. Still, for a simple 0-parameter create tool, this is solid.

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 two concise sentences, front-loaded with the main action, then return value, platform behavior, and usage guidance. No fluff or repetition, every sentence earns its place.

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 tool's simplicity (no params, no output schema), the description is complete: it explains what it does, what it returns, how the title works, and when to use it versus the alternative ask_ai. It also references ask_in_thread, providing seamless context for the next step in the workflow.

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 are zero parameters, and the input schema is empty, so schema coverage is trivially 100%. The description adds no parameter-specific information because there are no parameters. Per the rubric baseline for 0 params, a score of 4 is appropriate.

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 clearly states the tool's function: 'Create a new conversation thread for multi-turn Q&A with the Meet Rupert AI.' It uses a specific verb (create) and resource (conversation thread), and distinguishes itself from sibling tools like ask_ai and ask_in_thread by explaining it creates the thread rather than answering directly.

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 explicitly says when to use this tool: 'Use this when follow-up questions need to remember earlier context; for a single standalone question use ask_ai.' This provides clear context and names an alternative, which is exactly what usage guidelines should offer.

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