report_no_shows
Report no-show statistics for a period. Group by client, provider, service, or day.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| apiKey | No | ||
| dateTo | No | ||
| groupBy | No | ||
| orgSlug | Yes | ||
| dateFrom | No |
Report no-show statistics for a period. Group by client, provider, service, or day.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| apiKey | No | ||
| dateTo | No | ||
| groupBy | No | ||
| orgSlug | Yes | ||
| dateFrom | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It reveals only that the tool can group by client/provider/service/day, which duplicates the schema enum. It does not disclose date range behavior, required permissions, pagination, or output format.
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 two short sentences, front-loaded with the purpose, and contains no redundant information.
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?
The tool has six parameters, no output schema, and no annotations. The description provides only a high-level purpose and one grouping hint. It lacks essential context about date range semantics, answer format, and constraints, making it incomplete for an agent to select and invoke correctly.
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 description coverage is 0%, so the description must compensate. It adds meaning to the groupBy parameter by explaining grouping options, but it does not cover dateFrom/dateTo, limit, or orgSlug, leaving most parameters unexplained.
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 reports no-show statistics for a period and lists grouping options. It uses a specific verb and resource, and differentiates from sibling report tools by focusing on no-shows.
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?
Usage context is implied by the name and description (analyzing no-show statistics), but there is no explicit guidance on when to use this tool versus other report tools like report_occupancy or report_revenue. No exclusions or alternatives are mentioned.
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.