Skip to main content
Glama
dingdawg

dingdawg-healthcare-agent

by dingdawg

appointment_scheduler

Read-only

Schedule, view, and cancel patient appointments while detecting conflicts and optimizing schedules. Streamline healthcare appointment management with AI-powered assistance.

Instructions

AI-powered appointment scheduling with conflict detection and optimization. Requires DINGDAWG_API_KEY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoAppointment date (YYYY-MM-DD)
timeNoAppointment time (HH:MM)
actionYesAction to perform
patient_nameNoPatient name
appointment_idNoAppointment ID (for cancel)
Behavior1/5

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

The annotations declare readOnlyHint=true, but the description says 'appointment scheduling' and the schema includes schedule and cancel actions, implying mutation. This directly contradicts the annotation, making the behavioral transparency score 1.

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 concise, with two short sentences and no waste. However, 'AI-powered' is vague filler and the structure doesn't front-load key details like the tool's multiple actions.

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?

Despite full schema descriptions, the tool description omits the list and cancel actions and fails to explain behavior around API key requirements or response format. The contradiction with annotations further reduces completeness.

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?

Schema description coverage is 100%, with each parameter having a clear description. The tool description adds no semantic meaning beyond that, so 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 clearly states the tool schedules appointments, which is a specific verb and resource. It does not explicitly differentiate from sibling tools but the name and description sufficiently convey its core function.

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?

The description requires a DINGDAWG_API_KEY but provides no context on when to use this tool versus alternatives like patient_intake or hipaa_check. No exclusions or situational guidance are given.

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/dingdawg/dingdawg-healthcare-agent'

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