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Geocode AI

Get email preferences

get_email_preferences
Read-onlyIdempotent

Which automated emails the account receives: the global subscription and one switch per kind (getting-started notes, first boundary, usage milestones, quota warnings, check-ins, monthly digest). Free. Sign-in codes are always sent. Needs an API key or a connected account.

Input 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 cover read-only, idempotent, non-destructive, and closed-world, so the bar is lower, yet the description still adds real context: the call is free (no quota cost) and sign-in codes are always sent regardless of these settings, a caveat an agent would otherwise misreport. It does not disclose whether the switches reflect account-level or org-level scope, or what the defaults are.

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?

The payload description is front-loaded and every sentence carries information; nothing is padding. The clipped fragments ('Free.' 'Sign-in codes are always sent.') read telegraphically but stay scannable and short.

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 output schema and no parameters, the description has to carry the return-shape burden and largely does by listing the global subscription plus one switch per email kind. It falls short only on exact field names, value types, and defaults, which an agent would need to interpret the response programmatically.

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 the baseline is 4. The description's enumeration of switch kinds describes the return payload rather than inputs, which is a bonus given there is no output schema.

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 the resource precisely (automated email preferences for the account) and even enumerates the individual switches returned (getting-started notes, first boundary, usage milestones, quota warnings, check-ins, monthly digest), so an agent knows exactly what data comes back. It never names the sibling update_email_preferences, so differentiation from the write counterpart is left to the name alone.

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: an agent can infer this is the read step before update_email_preferences, but the description never says when to call it or when not to. The closing line 'Needs an API key or a connected account' is a genuine access precondition, which is useful, but it is auth guidance rather than call-selection guidance.

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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