notifications_mark_read
Mark one owned TikTok in-app notification as read.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| notification_ref | Yes |
Mark one owned TikTok in-app notification as read.
| Name | Required | Description | Default |
|---|---|---|---|
| notification_ref | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description is the only source of behavioral disclosure. It correctly signals a mutating action and an ownership constraint, but it does not explain side effects, idempotency, authentication requirements, error behavior, or what happens to unread state. These are notable gaps for a state-changing tool.
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 filler. Every word carries meaning: 'one', 'owned', 'TikTok in-app notification', and 'as read' define the scope and action precisely.
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 one-parameter mutation tool this is minimally adequate: it names the object and the state change. However, it omits how the notification_ref is obtained, any response expectations, and error/failure semantics, which would make the tool fully self-contained.
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%, and the description adds only that the parameter refers to an owned TikTok in-app notification. That is useful context beyond the raw notification_ref schema, but it does not explain how to obtain a valid reference (e.g., via notifications_list) or otherwise help populate the value, so compensation is only partial.
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 ('Mark') with a clear object ('one owned TikTok in-app notification') and outcome ('as read'). It is immediately distinguishable from the sibling notifications_list, which lists rather than mutates.
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 intended use is clear: mark a single owned notification read. It does not explicitly name alternatives or when not to use it, but the action is unambiguous and the sibling list tool is easily inferred as the opposite operation, providing clear context without exclusions.
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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