openai_create_live_session

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

No annotations are supplied, so the description carries the full behavioral burden. It discloses only the input/return pairing (offer in, answer out) and says nothing about session lifetime, side effects, billing, auth requirements, or how the model parameter affects the resulting session.

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 efficient sentence with the core action front-loaded and no redundant phrasing. It is well-structured but so terse that concision comes at the cost of the missing parameter and behavioral detail.

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 output schema covers the return value, so the description need not explain the SDP answer. However, for a four-parameter session-creation tool with zero annotation and zero schema-description coverage, the description leaves too much unexplained for an agent to invoke it confidently.

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 0% across four parameters, and the description only implicitly covers sdp_offer. The meanings of 'model' (default gpt-live-1), 'session_json', and 'safety_identifier' are left entirely undocumented, so the description does not compensate for the schema gap.

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 and resource ('Create a GPT-Live WebRTC session'), and adds the mechanism ('from an SDP offer') plus the result ('return the SDP answer'). It does not explicitly differentiate itself from siblings like openai_create_realtime_client_secret, but the WebRTC/SDP framing makes the operation 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?

There is no guidance on when to choose this tool over the related realtime-session tools, and no mention of prerequisites such as authentication, an existing model, or what SDP offers are valid. The agent must infer the usage context from the wording alone.

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