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miro_get_board_content

Read-only

Retrieve all board content, including items, frames, connectors, and tags, for AI analysis and documentation generation.

Instructions

Get all board content for AI analysis and documentation generation. Returns items by type, frame hierarchy, connectors, and tags. For a quick summary, use miro_get_board_summary instead.

USE WHEN: "analyze this board", "generate documentation from board", "describe everything on this board"

VOICE-FRIENDLY: "Retrieved full content for 'Design Sprint': 26 items across 3 frames, 5 connectors, 2 tags"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
board_idYesBoard ID to analyze
max_itemsNoMaximum items to fetch (default 500, max 2000)
include_tagsNoInclude tag data and usage (default true)
include_connectorsNoInclude connector relationships (default true)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
nameYes
tagsNo
framesNo
messageYes
truncatedYes
view_linkYes
connectorsNo
created_atNo
descriptionNo
item_countsYes
modified_atNo
total_itemsYes
items_by_typeYes
content_summaryYes
Behavior4/5

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

Annotations already mark readOnlyHint=true. The description adds context about what is returned (items by type, frame hierarchy, connectors, tags) and includes a voice-friendly output example, complementing the annotations without contradiction.

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 sentences plus a USE WHEN phrase and a voice-friendly example. Information is front-loaded, every sentence adds value, and there is no unnecessary repetition.

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 an output schema present, the description does not need to detail return values. It covers purpose, usage, alternative, and gives a sample output. Could mention pagination or limits, but max_items parameter addresses that.

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 coverage is 100%, and the description does not significantly add beyond the schema. It implies the boolean parameters by mentioning connectors and tags, but does not explain max_items or provide additional parameter semantics.

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 clearly states the verb 'Get all board content' and the resource, and distinguishes from sibling 'miro_get_board_summary' by specifying that this is for full content for AI analysis and documentation generation.

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

Usage Guidelines5/5

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

Includes explicit USE WHEN phrases like 'analyze this board', 'generate documentation', and provides an alternative: 'For a quick summary, use miro_get_board_summary instead.' This tells the agent exactly when to invoke this tool versus alternatives.

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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