Notification settings
get_notification_preferencesReturns notification toggles and the low-balance threshold.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_notification_preferencesReturns notification toggles and the low-balance threshold.
| 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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower, and the description still adds genuine value by enumerating what comes back: the toggles and the low-balance threshold. With no output schema, this return-content disclosure is the only source of that information.
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 sentence with zero waste, front-loading the verb and the returned payload. Nothing could be removed without losing information.
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 tool whose annotations carry the safety profile and whose lack of an output schema is compensated by the field list in the description, this is nearly complete. The only minor gap is not pointing at set_notification_preferences for the write case.
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, which is the baseline-4 case per the rubric. There is nothing for the description to add semantically, and it correctly does not invent parameter guidance.
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 states a specific verb (Returns) and resource (notification toggles plus the low-balance threshold), and the payload contents immediately separate it from the sibling set_notification_preferences. It is clear but never explicitly names the setter counterpart, so differentiation is implicit rather than stated.
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 read-oriented phrasing implies 'use this to inspect current settings before changing them', but there is no explicit when-to-use statement, no prerequisite, and no mention of set_notification_preferences as the mutation alternative. Adequate but leaving routing to 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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