get_email_preferences
Read your optional email preferences.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read your optional email preferences.
| 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 declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description's only added signal is the word 'optional', hinting preferences may be unset or empty, but it says nothing about the shape of the response or auth requirements.
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 short sentence with the resource front-loaded and no filler. It is appropriately sized for a trivial zero-parameter read, though it borders on being too terse to be informative.
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?
With no output schema, the description carries some burden to describe the returned preference fields, and it does not. For a zero-parameter read whose annotations already cover safety, this is adequate but leaves the return shape and the meaning of 'optional' unexplained.
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, so there is nothing for the description to disambiguate. Baseline of 4 applies; no compensating detail is required.
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?
States a specific verb (Read) and resource (your optional email preferences), which is clearer than a bare name restatement. It does not, however, explicitly distinguish itself from the sibling set_email_preferences or explain what the preferences contain, so an agent must infer the read/write split from names alone.
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 description gives no when-to-use guidance, no mention of the complementary set_email_preferences tool, and no indication of prerequisites. Usage is only implied by the verb 'Read'.
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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