create_synthesis_chat

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

With no annotations, the description carries the full burden. It explains that Synthesis Studio conducts AI-powered conversations analyzing actual session data, and clarifies that analytics need not be pre-generated. This adds behavioral context beyond a simple 'create' action, though it does not discuss side effects, permissions, or potential errors.

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 concise and front-loaded with the main purpose, followed by short context paragraphs and a clear Args list. Every sentence adds value without unnecessary 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?

The tool is simple with only 2 flat parameters and has an output schema, so the description need not detail return values. It covers purpose, usage timing, prerequisites, and parameter semantics. It could mention potential errors or whether the chat is unique per study, but overall it is coherent and sufficient.

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?

The schema provides only titles and types, while the description's Args section adds explicit meaning: study_id is 'the unique identifier of the study to analyze' and title is 'an optional title for the chat session.' This fully compensates for the 0% schema description coverage.

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 'Start a new Synthesis Studio AI analysis chat for a study', which specifies the verb (start) and resource (chat). It is distinct from sibling tools like delete_synthesis_chat, send_synthesis_message, and list_synthesis_chats.

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 says 'Best used after the study has collected participant sessions' and notes that 'Analytics do not need to be pre-generated', providing clear when-to-use context. It also directs users to 'use send_synthesis_message to ask questions' after creation, which points to the next step. However, it does not explicitly list alternative tools or exclusions.

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