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granola_notes_list

Read-onlyIdempotent

List meeting notes filtered by creation or update date, optionally in a folder and its subfolders. Returns id, title, owner, timestamps for notes with AI summaries.

Instructions

List meeting notes, filtered by when they were created or last updated and optionally narrowed to one folder and its subfolders. Returns each note's id, title, owner and timestamps, not its content. Fetch that with notes_get. Only notes that already have a generated AI summary appear here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoThe cursor to continue from
folderIdNoReturn notes in this folder and any of its child folders. Use the list folders endpoint to discover folder IDs.
pageSizeNoMaximum number of notes to return per page. The server returns 10 when this is absent.
createdAfterNoReturn notes created after this date. A date (`2026-01-27`) or a date-time (`2026-01-27T15:30:00Z`).
updatedAfterNoReturn notes updated after this date. A date (`2026-01-27`) or a date-time (`2026-01-27T15:30:00Z`).
createdBeforeNoReturn notes created before this date. A date (`2026-01-27`) or a date-time (`2026-01-27T15:30:00Z`).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, openWorld), so the bar is lower, and the description adds real behavioral context: the response is metadata-only (id, title, owner, timestamps) and only AI-summarized notes are returned. It does not mention pagination or cursor behavior, which is a notable omission for a list tool returning partial pages.

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?

Three tight sentences, front-loaded with what is listed and filtered, then the return shape, then the sibling routing. Every sentence carries distinct information and there is no filler.

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, the description usefully enumerates the returned fields and the AI-summary precondition, which is the key thing an agent needs to know before calling. Pagination behavior is left entirely to the cursor parameter's schema description, a minor gap for a paged list tool.

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 every parameter including folder recursion, pageSize default of 10, cursor, and date formats. The description only restates the existence of the time and folder filters, adding essentially nothing beyond the schema, which is the baseline-3 case for high coverage.

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 and resource (list meeting notes) plus the two filtering axes (creation/update time, folder scope) and explicitly distinguishes the resource from its sibling by noting that content is fetched with notes_get. An agent can differentiate it from granola_notes_get without opening either 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?

It routes the agent to the right sibling for content ('Fetch that with notes_get') and discloses a decisive selection condition ('Only notes that already have a generated AI summary appear here'). It stops short of explicit when-not-to-use guidance, such as what to do if the summary requirement excludes a desired note.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.