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Update Notification Preferences

update_notification_preferences

Configure your own notification preferences. MCP approval requirements are configurable by the organization administrator; business workflow approvals always apply.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "data": "<data>"
    },
    "name": "update_notification_preferences"
  }
}

Input Schema

NameRequiredDescriptionDefault
dataYes

Output Schema

NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already disclose that this is a non-read-only, non-destructive, non-idempotent mutation. The description adds useful policy context about MCP approval requirements and workflow approvals, but it does not explain whether the update merges or replaces existing settings or what side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences and front-loads the core action immediately. The second sentence adds relevant constraint context without unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with a complex nested input object and 0% schema description coverage, the description is too thin. It leaves key input semantics and update behavior undocumented, although annotations and an output schema reduce some burden.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the single required data object contains many nested properties without descriptions. The description does not explain fields such as quiet hours, digest frequency, channels, or due-soon thresholds, so it fails to compensate for the schema's lack of field semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Configure your own notification preferences.' It is clear what the tool does, but it does not explicitly distinguish this mutation tool from the sibling read tool get_notification_preferences or explain when to choose this one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by saying users configure their 'own' preferences and notes that approval-related configuration belongs to the organization administrator. However, it gives no explicit when-to-use guidance relative to alternatives such as get_notification_preferences or organization-level settings.

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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