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FeatureBoard MCP Server

by valentil

Check for FeatureBoard updates

check_updates
Read-only

Check if a newer FeatureBoard version is available by fetching the release manifest. Displays update status and download links.

Instructions

Explicitly check featureboard.ai for a newer FeatureBoard release. This makes exactly ONE outbound HTTPS GET request — to https://featureboard.ai/downloads/latest.json — and ONLY when you call this tool; it never runs automatically (no polling, no startup check, no background timer). It is a plain GET with no request body: nothing about you, your board, or this machine is sent. Compares the manifest's version against THIS running server's own version (read from its own package.json) and reports whether an update is available, plus both download links — featureboard.plugin for Claude/Cowork installs, featureboard-mcp.zip for Cursor/Grok Build/other MCP clients. Fails soft on any network problem (timeout, offline, bad response) — never throws; call it again later if it couldn't reach the server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true. The description adds substantial detail: exactly one GET request to a specific URL, no request body (privacy), compares version locally, provides download links, and fails soft on network issues. No contradictions.

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 description is a single, well-structured paragraph that front-loads the primary purpose. Every sentence adds value: technical details, privacy assurances, behavior, and error handling. It is appropriately sized without verbosity.

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?

Given no parameters and no output schema, the description covers the tool's behavior comprehensively: action, URL, comparison, returned information, and error handling. It lacks only explicit output structure, but that is acceptable without an output schema.

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 input schema has zero parameters, with 100% schema coverage. The description correctly implies no parameters are needed. Baseline for no parameters is 4, and the description aligns perfectly.

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 it explicitly checks for a newer FeatureBoard release via an HTTPS GET request to a specific URL. It naturally distinguishes itself from all sibling tools, none of which perform update checks.

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 explains when to use the tool (to explicitly check for updates) and clarifies that it never runs automatically (no polling or background checks). It also mentions soft failure handling. Though no explicit 'when not to use' is given, the context is clear.

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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