service_list
List services of an organization. Can filter by active status, discoverability, or category.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | No | ||
| orgSlug | Yes | ||
| category | No | ||
| activeOnly | No | ||
| discoverableOnly | No |
List services of an organization. Can filter by active status, discoverability, or category.
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | No | ||
| orgSlug | Yes | ||
| category | No | ||
| activeOnly | No | ||
| discoverableOnly | 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, the description carries the full burden of disclosing behavior. It does not state whether services are returned by default with no filters, whether pagination applies, or any authentication requirements beyond the implicit apiKey. For a list tool, this is insufficient 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no waste. It efficiently conveys the primary action and key filter options, earning the highest score for 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?
Given the absence of output schema, annotations, and the presence of 5 parameters, the description is under-specified. It does not explain the return shape, ordering, pagination, or how it differs from public_service_list. A list tool of this complexity needs more context to be fully useful.
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 mentions 'active status, discoverability, or category' which maps to activeOnly, discoverableOnly, and category, but adds little beyond the parameter names. apiKey and orgSlug are left unexplained, and boolean semantics or value formats are not clarified.
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 it lists services of an organization, using the specific verb 'List' and specifying the resource scope. It distinguishes from sibling tools like service_create/service_update and admin_list_providers, though it doesn't explicitly differentiate from public_service_list.
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. There is no mention of public_service_list for public contexts, nor any exclusions or conditions for use. The description simply states what it does without contextual cues.
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.