Place the interview call (phone path, step 1 of 2)

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

With no annotations, the description carries the full burden and delivers: it is a real outbound call, it is refused without approval, the agent self-identifies as AI and seeks recording consent, it returns immediately rather than blocking, and it lists the required environment variables.

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?

Dense but efficient: each sentence adds distinct information (purpose, gate, call semantics, return, env requirements) with no filler.

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?

For a side-effecting tool with no output schema and no annotations, the description covers safety gating, return value, follow-up tool, and runtime prerequisites — everything an agent needs before invoking it.

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 coverage is 100%, so both parameters are already fully documented, including confirm_dial's const:true and the approval linkage on brief_id. The description adds no syntax or format detail beyond the schema, so the baseline of 3 applies.

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?

States a specific verb and resource ('places one real outbound call to the brief's subject') plus the delivery mechanism (ElevenLabs over Twilio), and its 'step 1 of 2' framing lets an agent separate it from fetch_transcript and run_interview.

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?

Gives a clear precondition for use (human approval on file for the exact person and number) and routes the agent onward to fetch_transcript to await the result. It does not, however, contrast this phone path against any purely text path or explain when to prefer the alternative.

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