Mark No-Show
neuron_mark_no_showMark a booking as no-show when the invitee did not attend.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Booking UUID |
neuron_mark_no_showMark a booking as no-show when the invitee did not attend.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Booking UUID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare a non-read-only, idempotent, non-destructive mutation, so the agent knows the safety profile. The description adds the specific state change (booking to no-show) but omits side effects such as notifications, reversibility, or permission requirements.
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?
A single, front-loaded sentence with no redundant or filler content. Every word contributes to the purpose.
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, single-parameter status-change tool with rich annotations and full schema coverage, the description covers the essential action and condition. It does not mention return values or side effects, but with no output schema and clear annotations, it is largely sufficient.
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 100% and the single 'id' parameter is documented as a Booking UUID. The description adds no parameter details, which is acceptable given the schema's completeness; baseline 3.
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?
States a specific verb (mark) and resource (booking as no-show) with the triggering condition (invitee did not attend). It is clear but does not explicitly differentiate from sibling booking-status tools like cancel_booking or complete_booking.
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?
Provides a usage condition ('when the invitee did not attend') but does not name alternatives or specify when not to use it. The context is implied rather than explicitly directed.
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.