Skip to main content
Glama

get_appointment_avg_duration_by_dock_and_status

Retrieve the average duration of appointments grouped by dock and status to identify bottlenecks and optimize dock scheduling.

Instructions

Appointment duration average by dock and status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of transparency. It does not disclose any behavioral traits such as time range, filtering, or output structure. The description is too minimal to provide meaningful behavioral context.

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 very concise, using only a few words. It could be improved by forming a complete sentence, but it is not overly verbose.

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 no output schema, the description should explain the return format. It only mentions the grouping dimensions but not what fields the response contains (e.g., dock ID, status, average). This leaves the agent guessing about the structure.

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?

There are no parameters, so schema coverage is trivially 100%. The description adds little value beyond the name, but since no parameters exist, the baseline of 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 clearly states it provides average appointment duration grouped by dock and status. The name reinforces this, distinguishing it from sibling tools that group by load type or status alone. However, it is phrased as a noun phrase rather than a complete action statement, which slightly reduces clarity.

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 agent must infer from the grouping dimensions alone, with no explicit context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Pollamin/opendock-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server