List services
list_servicesThe services (kinds of work, e.g. Design, Development) time can be booked with. Booking without one uses the user's default service.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_servicesThe services (kinds of work, e.g. Design, Development) time can be booked with. Booking without one uses the user's default service.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description contributes domain semantics (what a service actually is, with concrete examples) and the default-fallback behavior when a booking omits one, which is genuinely useful context not present in the annotations.
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?
Two very short sentences with zero waste, and the resource definition is front-loaded ahead of the default-service footnote. The first sentence is a noun-phrase fragment rather than a full clause, which slightly softens the opening.
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 zero-parameter, read-only enumeration with annotations covering safety and no output schema to explain, the description says what the resource is and when a value matters. Only the enumeration/return shape is left implicit, which is a minor gap at this complexity level.
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?
The tool takes zero parameters, so per the baseline this is a 4. The description correctly spends no words on parameter documentation that would be redundant.
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 defines the resource precisely ("kinds of work, e.g. Design, Development") and ties it to its domain function (services time can be booked with), which distinguishes it from the many ticket/time-entry siblings. It stops short of an explicit verb like "list", leaving the enumeration action implicit in the name alone.
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?
There is no explicit when-to-use or when-not, and no named alternative. However, "Booking without one uses the user's default service" implicitly tells the agent the tool matters when a specific service must be chosen rather than defaulted, which is more than nothing but still requires inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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