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Get notification preferences

get_notification_preferences
Read-onlyIdempotent

The signed-in person's notification preferences (which kinds reach them in the app, by push, email or Slack, working hours and the digest), whether they differ from the team defaults, and the team defaults.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuine value by disclosing the return payload shape — that it includes both the personal preferences, a comparison against team defaults, and the team defaults — which annotations do not convey. It does not mention the voice of the response (JSON shape, formatting) or error behavior, keeping it short of a 5.

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

Conciseness4/5

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

A single front-loaded sentence with no filler; the parenthetical enumeration of channels and digest is dense but directly useful. Slightly long, but every clause carries information about what is returned.

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

Completeness4/5

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

With no parameters, no output schema and a fully-covered annotation set, the description is close to sufficient: it tells the agent exactly what data comes back, including the team-defaults comparison that no structured field expresses. Only response format/error behavior is unstated, a minor gap for a zero-argument read.

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 takes zero parameters, so per the rubric the baseline is 4. The description correctly adds nothing about inputs because there are none, and instead spends its words on the result set.

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 names a specific resource (the signed-in person's notification preferences) and enumerates the scope: app/push/email/Slack channels, working hours, the digest, the diff against team defaults, and the team defaults themselves. There is no explicit verb, so the agent relies on the `get_` prefix for the read semantics. It is clear on its own but does not name or contrast with siblings such as update_my_notification_preferences or update_team_notification_defaults.

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?

Usage is only implied by the read-only name and the enumerated return content; there is no explicit statement of when to call this versus update_my_notification_preferences, reset_my_notification_preferences, or list_notifications. No exclusions or prerequisites (e.g., auth requirements) are given. The agent can infer it is the read counterpart to the update tools, which is the minimum viable level.

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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