booking_get
Get complete details of a session/appointment by its ID, including client, provider, service, financial, and delivery proof information.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | No | ||
| orgSlug | Yes | ||
| sessionId | Yes |
Get complete details of a session/appointment by its ID, including client, provider, service, financial, and delivery proof information.
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | No | ||
| orgSlug | Yes | ||
| sessionId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the burden. The verb 'Get' implies a non-destructive read, but no additional behavioral traits are disclosed (e.g., authentication requirements, error handling, or side effects). It is adequate but sparse.
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?
One clear, front-loaded sentence with no wasted words. It efficiently conveys the core purpose and scope of returned data.
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?
For a simple get-by-ID tool, the description lists the main data categories, which partially compensates for the lack of an output schema. However, with no annotations and no parameter guidance, it leaves gaps about invocation context and response structure.
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?
Schema coverage is 0%, so the description must compensate. It hints at 'by its ID' for sessionId, but does not explain orgSlug or apiKey. The description adds minimal value beyond the raw parameter names; the agent would have to infer the role of each parameter.
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 clearly states the tool retrieves a session/appointment by ID and lists the categories of details included (client, provider, service, financial, delivery proof). This distinguishes it from list and mutation tools like booking_list and booking_cancel.
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?
The description implies usage for fetching a single session's full details, but does not explicitly state when to prefer this over alternatives like booking_list or public_booking_get, nor are there exclusions or when-not-to-use conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple parallel booking creation flows (booking_create, scheduling_book, public_booking_create) and session state transition tools (booking_update_status, lifecycle_transition) create ambiguity. While descriptions are detailed, an agent could easily select the wrong tool for a given task, especially with 111 tools to choose from.
Most tools follow a consistent domain_action pattern (e.g., client_create, service_update, comms_list_campaigns). Minor deviations include Spanish/English mixing (cierre_*, report_deuda_real) and a few noun-only names like org_summary, but the overall structure is predictable.
With 111 tools, the server is massively over-scoped for an MCP surface. Even for a broad service business domain, this exceeds reasonable limits and will overwhelm agents, making tool selection slower and more error-prone.
The tool surface is extremely thorough, covering org setup, services, providers, booking (internal/public/spec), finance, payroll, closing, disputes, clinical notes, treatment plans, and reporting. Gaps are rare and often intentional (e.g., no deliver via MCP, read-only treatment plans), so agents can complete most workflows end-to-end.