Mark notifications as read
mark_notifications_readMarks every notification of the trainer as read.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
mark_notifications_readMarks every notification of the trainer as read.
| 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 this is a non-read-only, non-destructive, open-world mutation. The description adds useful scope detail by specifying that all of the trainer's notifications are affected, but it does not explain reversibility, result behavior, or any constraints beyond the bulk scope.
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?
It is a single, front-loaded sentence with no wasted words. The action and scope are stated immediately.
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 mutation with annotations covering the safety profile, the description is largely complete: it identifies the resource and confirms bulk scope. It could be slightly richer by clarifying how this differs from mark_notification_read, but no critical information is missing for invocation.
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?
There are zero parameters, so the baseline is 4. The description appropriately does not introduce parameter semantics where none exist.
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 uses a specific verb ('Marks') and resource ('every notification of the trainer as read'), so the action and scope are clear. It implicitly distinguishes bulk marking from the sibling mark_notification_read by saying 'every notification', but it does not explicitly name that sibling or clarify the boundary.
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 gives no explicit guidance on when to use this bulk-marking tool versus mark_notification_read or list_notifications. The word 'every' implies a bulk operation, but there are no exclusions, prerequisites, or stated alternatives.
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.