get_appointment_volume_by_carrier
Retrieve appointment volume data grouped by carrier to analyze scheduling demand and optimize dock operations.
Instructions
Appointment volume by carrier
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve appointment volume data grouped by carrier to analyze scheduling demand and optimize dock operations.
Appointment volume by carrier
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully convey behavioral traits. It only states the output grouping, omitting whether the tool is read-only, requires authentication, returns raw counts or aggregated data, or any other operational details.
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?
The description is extremely concise at three words, but it sacrifices clarity and completeness. While brevity is good, a few more words could significantly improve understanding without losing conciseness.
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?
Despite having no parameters or output schema, the description fails to explain what the output represents (e.g., is it a count, list, time series?). This leaves the agent uncertain about the tool's return format and how to use the data.
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?
The input schema is empty (no parameters), and the description does not need to add parameter-level details. According to the rules, zero parameters baseline is 4, and the description is adequate in this aspect.
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 'Appointment volume by carrier' clearly indicates the tool returns volume data grouped by carrier, distinguishing it from sibling tools that group by other dimensions (e.g., date, load type). However, it lacks a verb, making it slightly less explicit.
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?
No guidance is provided on when to use this tool versus alternatives like get_appointment_volume_by_date or get_appointment_volume_by_load_type. The description does not mention any prerequisites or context for use.
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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