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DropTrack Get User Notification Settings

droptrack_get_user_notification_settings
Read-only

Get the authenticated user email notification settings, including weekly/monthly reports, engagement emails, and campaign nudge email updates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoStructured DropTrack result returned by this tool

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds useful context about the specific types of email notification settings included, but does not disclose behavior such as authentication requirements, response shape, or any side effects. This is acceptable given the annotations and output schema.

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 a single sentence that front-loads the core action and resource, then adds concrete detail about setting categories. Every part of the sentence earns its place, and there is no fluff or redundant restating of the tool name.

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

Completeness5/5

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

Given that the tool has no parameters, the annotations declare it read-only and non-destructive, and an output schema exists, the description is sufficiently complete for an agent to select and invoke the tool correctly. No critical context is missing.

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

Parameters4/5

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

The tool has zero parameters and schema description coverage is 100%, so there is no parameter ambiguity to resolve. The description does not need to explain parameter semantics because none exist. Baseline 4 is appropriate for a zero-parameter tool.

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

Purpose5/5

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

The description uses a specific verb and resource: 'Get the authenticated user email notification settings', clearly distinguishing this as a read operation for the current user's notification preferences. It also enumerates the specific setting categories (weekly/monthly reports, engagement emails, campaign nudge email updates), which removes ambiguity about what the tool returns.

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

Usage Guidelines2/5

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

The description states what the tool retrieves but provides no guidance on when to use it versus alternatives such as droptrack_get_campaign_nudge_summary or droptrack_list_campaign_nudge_contacts. There is no mention of exclusions, prerequisites, or conditions that would route an agent to this tool over sibling getters.

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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