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Read scheduling preferences

preferences_get
Read-only

Read the person's scheduling preferences, as preferences_set describes each, null where unset; once any day's hours are set, a day without is off; receiving names the calendar bookings are made in. calendars_list says which calendars count as busy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds real domain semantics the annotations cannot: unset values come back null, a day with no hours is off once any day is set, and the 'receiving' field names the booking calendar. That is genuinely useful behavioral context, short only of pagination/error behavior.

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 core action is front-loaded in the first clause and nothing is wasted. The back half is a dense semicolon chain covering three separate rules, which is compact but slightly harder to parse than it needs to be.

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?

There is no output schema, so the description correctly carries the burden of explaining return semantics, and it does so for the tricky cases (null vs. off, receiving calendar). It falls just short of a complete picture of what a 'scheduling preference' record contains, deferring that to preferences_set.

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 instead spends its words on return-value semantics (null when unset, day-means-off rule), which is the right trade-off for a no-arg reader, though it does not enumerate the full set of returned preference fields.

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?

States a specific verb ('Read') and resource ('the person's scheduling preferences') and explicitly positions itself against siblings: preferences_set is the writer whose fields this mirrors, and calendars_list supplies the busy-calendar definition. An agent can distinguish read-preferences from set-preferences without opening a schema.

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

Usage Guidelines4/5

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

The cross-references to preferences_set and calendars_list make the read-vs-write split clear by implication, and the mention of 'receiving names the calendar bookings are made in' tells the agent when this data is relevant. However, it never explicitly states 'use this when you need current preferences; use preferences_set to change them', leaving the routing to inference.

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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