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Open the final service confirmation card

render_service_request_form
Read-onlyIdempotent

Use only when update_service_request returns next_action=render_service_request_form. It opens the one final card containing exact provider options, booking fields, policies and Confirm. Do not ask for contact PII in chat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already communicate read-only, idempotent, and non-destructive behavior. The description adds practical context that this tool surfaces a final card with specific fields and instructs the agent not to collect PII, which is useful behavioral guidance beyond the annotations. No contradiction exists between the description and annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise and front-loaded: the trigger condition is the first thing stated, and every sentence adds necessary information about when to use the tool and what it does. There is no wasted text or repetition of already-structured metadata.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, read-only tool with a single parameter and existing annotation coverage, the description covers the key operational context: trigger, content of the card, and interaction guidance. The only minor gap is that request_id semantics are not explicitly explained, but the tool is simple enough that this is unlikely to block correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage for parameters is 0%, so the description had to carry meaning for request_id, but it does not mention this parameter at all. The schema only provides length constraints, not semantic meaning. An agent must infer that request_id is the identifier from the preceding update_service_request response, which is not explicitly stated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool's specific function: rendering the final service confirmation card, with exact content (provider options, booking fields, policies, Confirm). It also distinguishes itself from the workflow by tying its use to a specific next_action from update_service_request, which sets it apart from the sibling tools that handle booking actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives an explicit trigger condition: use only when update_service_request returns next_action=render_service_request_form. It also provides a clear exclusion: do not ask for contact PII in chat. This tells an agent when and how to use the tool, and what to avoid.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools map to distinct lifecycle stages: request intake, option selection, booking creation, and booking management. The main potential confusion is between get_service_options and select_service_option, and between prepare_service_booking_change versus the actual cancel/reschedule tools, but per-tool guidance makes the boundaries clear enough for an agent.

Naming Consistency5/5

All tool names follow a snake_case verb_noun pattern such as start_service_request, update_service_request, get_service_options, and reschedule_service_booking. Minor variations like get_my_service_bookings and prepare_service_booking_change are still natural and predictable.

Tool Count5/5

Twelve tools is well-scoped for a booking and appointment-management domain. Each tool serves a necessary step in the flow: starting a request, updating intake, selecting options, creating bookings, listing/getting bookings, and handling changes.

Completeness4/5

The lifecycle is largely complete: request creation and updates, option selection, booking creation, read/list, reschedule, and cancelation. Obvious gaps are minor, such as no explicit tool to abandon a service request or retrieve a single service request alone, but the core user journey has no dead ends.

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