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Update a service request

update_service_request
Idempotent

Use this for the user's partial response to the current intake or matching batch. Pass only values the user supplied plus selected_time_key when chosen. Fields absent from answers are treated as omitted for that prompt batch; optional and conditionally required omissions do not block progress. Always pass the latest expected_state_version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answersNo
request_idYes
idempotency_keyYes
expected_state_versionYes
explicitly_unknown_field_idsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already mark the call idempotent and non-read-only; the description adds useful behavioral nuance by stating that absent answers are treated as omitted for the prompt batch and that optional/conditionally required omissions do not block progress. This goes beyond the schema and annotations without contradicting them.

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?

Four short sentences, front-loaded with the primary use case and followed by precise instructions. Every sentence contributes actionable information with no filler.

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

Completeness3/5

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

The description captures the central partial-update semantics and state-version requirement, but with five parameters including an object and 0% schema coverage, omitting guidance on explicitly_unknown_field_ids and idempotency_key leaves an agent with incomplete calling knowledge. The presence of an output schema covers return values but not parameter-level behavior.

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?

With 0% schema description coverage, the description must carry parameter meaning, but it only meaningfully explains expected_state_version and answers behavior. Required fields like request_id and idempotency_key, plus explicitly_unknown_field_ids, receive no semantic guidance beyond their names.

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

Purpose4/5

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

The description opens with 'Use this for the user's partial response to the current intake or matching batch,' giving a concrete verb and resource while aligning with the title's update operation. It conveys that this tool records incremental answers to a service request, though it does not explicitly distinguish itself from closely related lifecycle tools like select_service_option.

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

Usage Guidelines4/5

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

'Use this for...' provides a clear context, and the instructions about passing only user-supplied values, including selected_time_key when chosen, and always passing the latest expected_state_version, give practical when/how guidance. It does not list exclusions or alternative tools, so it stops short of a 5.

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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