Skip to main content
Glama

Get Board Details

fizzy_get_board
Read-only

Retrieve a board's name, description, URL, and metadata to understand its structure before querying cards or columns.

Instructions

Get detailed information about a specific board including its name, description, URL, and metadata. Use this to understand board structure before querying cards or columns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
board_idYesThe unique board identifier: a 25-character identifier, e.g., '0000000000000000000000abc'. Get available board IDs from fizzy_get_boards.
account_slugYesThe account slug identifier (e.g., '123456' or '/123456'). This identifies which Fizzy account to operate on. Get available account slugs from fizzy_get_identity or fizzy_get_accounts.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.1.0

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful context about the kind of information returned and its role in understanding board structure, but it does not disclose response shape details, error behavior, or any other operational quirks.

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 with no filler. The core action and returned fields are upfront, and the usage guidance is immediately actionable.

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?

For a simple read-only GET tool with two well-documented parameters, the description covers purpose, when to use it, and the general return contents. The lack of an output schema and exact metadata details prevents a perfect score, but the description is sufficient for correct selection and 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?

The input schema has 100% description coverage for both parameters, including examples and where to obtain valid values. The tool description itself adds no parameter-specific meaning, so the baseline score of 3 applies.

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 identifies the operation as retrieving detailed information about a specific board, and lists key returned content (name, description, URL, metadata). It distinguishes itself from the plural sibling fizzy_get_boards by emphasizing 'specific board'.

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 description gives concrete usage context: use this to understand board structure before querying cards or columns. It does not explicitly name alternative tools for different scenarios, such as fizzy_get_boards for listing boards, but the guidance is clear enough for an agent to know when this tool is appropriate.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Fabric-Pro/fizzy-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server