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What's new in Databricks

whats_new
Read-onlyIdempotent

Recent Databricks changes the guide tracks, newest first: margin notes (dated news with our position), release-stage changes from the feature register (with links to Databricks' documentation and release note), and chapters updated. Defaults to the last 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many items (default 30)
sinceNoChanges on or after this day, YYYY-MM-DD (default: the last 30 days)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
boardYesThe feature status board
buildYesThe commit of the deploy that answered
itemsYes
sinceYes
totalYes
ttlMsYesHow long this answer may be kept before asking again, in milliseconds
index_builtYesWhen this deploy's index was built (ISO 8601)
register_updatedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds useful behavioral context: ordering (newest first), content categories (margin notes, release-stage changes, updated chapters), and the default time window. It does not cover pagination or limit behavior, but it goes beyond structured fields.

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 two sentences, front-loaded with the core scope ('Recent Databricks changes the guide tracks, newest first') and then efficiently enumerates content types and the default window. Every clause earns its place.

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?

For a simple read-only tool with a full output schema and 100% parameter description coverage, the description supplies ample context about what is returned, how it is ordered, and default behavior. No critical information is missing for correct invocation.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents both parameters and their defaults. The description restates the default 30-day window but adds no new syntax or format details beyond what the schema provides.

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 states a specific retrieval purpose: recent Databricks changes tracked by the guide, newest first, including margin notes, release-stage changes, and chapter updates. This clearly distinguishes it from siblings that fetch individual chapters, code examples, or perform searches.

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 implied by the content description ('Recent Databricks changes'), and the default 30-day window is stated. However, there is no explicit guidance on when to choose this over alternatives like search_guide or list_chapters, nor any exclusions.

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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