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list_appointment_metrics

Get filtered appointment metrics by dock, carrier, load type, or date to analyze scheduling efficiency and performance.

Instructions

Retrieve an appointment list that matches the criteria described in the request body

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dockIdsNoDock IDs to filter
loadTypeIdsNoLoad type IDs to filter
carrierIdsNoCarrier IDs to filter
tagsNoTags to filter
dateFieldNoDate field filter object
appointmentTypesNoAppointment types to filter
allCarriersNoInclude all carriers
exportFieldsNoFields to include in export
skipCustomFieldsNoSkip custom fields
Behavior2/5

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

With no annotations, the description carries the full burden. It declares a read operation ('Retrieve') but omits behavioral traits such as pagination, rate limits, or whether results are sorted. The lack of detail on how filters interact or what the output contains is a significant gap.

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

Conciseness4/5

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

The description is a single concise sentence with no redundant information. It is front-loaded but lacks structure; however, it is not verbose. The minimalism reduces clarity for complex tools.

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

Completeness2/5

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

Given the tool has 9 parameters including a nested object, and no output schema, the description is incomplete. It does not explain the output format, pagination, or any behavioral details, making it insufficient for an AI agent to fully understand the tool's behavior.

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

Parameters3/5

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

The input schema has 100% description coverage for all 9 parameters, providing adequate meaning. The description adds no additional semantics beyond 'criteria described in the request body', so it does not compensate for any gaps. Baseline 3 is appropriate.

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 uses a specific verb 'Retrieve' and mentions 'appointment list' and 'criteria', clearly indicating what the tool does. However, it does not differentiate from sibling tools like 'list_appointments' or 'search_appointments', lacking distinction for the 'metrics' aspect.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention any unique use cases, prerequisites, or exclusions, leaving the agent without context for tool selection.

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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