The full demo exchange plus the final structured case record, formatted to show a human. Call this at the end of a demo. Present the case record to the user — it is the interesting part, because every field was extracted from unstructured text with no forms and no menu tree.
| Name | Required | Description | Default |
|---|---|---|---|
| demo_session_id | Yes | The id returned by start_intake_demo. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that the output is human-formatted and explains the significance of the case record ('every field was extracted from unstructured text'). It doesn't discuss side effects, but as a get operation this is not a safety concern.
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?
Two compact, front-loaded sentences with no redundancy. The first sentence states the deliverable, the second provides usage and why it matters.
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 one-parameter getter with no output schema, the description covers what (full demo exchange + case record), when (end of demo), and why (interesting because of extraction). It could describe the exact return format, but 'formatted to show a human' is 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?
Schema coverage is 100%, with the sole parameter demo_session_id fully described as 'The id returned by start_intake_demo.' The description adds a hint that this is called at the end of a demo, which reinforces the parameter's origin but doesn't add new semantic detail beyond the schema.
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 what the tool does: returns 'the full demo exchange plus the final structured case record, formatted to show a human.' It is distinct from siblings like start_intake_demo or get_positioning, which handle other parts of the demo flow.
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?
Explicitly tells the agent when to call it: 'Call this at the end of a demo.' This is clear context, though it does not name alternatives or explicitly state when not to use it. Sibling names make the differentiation implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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Each tool targets a distinct action in the sales demo workflow—information retrieval, demo setup/progression, email demo polling, transcript retrieval, or booking. There is no overlap; even the three demo-related tools have clear lifecycle boundaries (start/continue/transcript).
All tool names follow a verb_noun pattern using snake_case, with consistent verb choices (get_* for informational, start_* for demos, etc.). No mixed conventions or vague verbs.
With 10 tools, the set is well-scoped for a sales/demo assistant, covering information, demos, access management, and booking without redundancy or bloat.
The surface covers the full sales journey: learn about the product (positioning/pricing/proof), try it (text/email demos), manage demo access, and book a call. No obvious dead ends—each demo has appropriate lifecycle support (start/continue/transcript/poll).
