VoteShip

Browse a feature board

browse_board

Read-onlyIdempotent

Use this when the user wants to inspect, compare, or interact with approved requests on a public VoteShip board. View approved feature requests on a public VoteShip board. No API key needed. Returns posts sorted by vote count and renders an interactive board in MCP Apps clients.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "browse_board"
  }
}

Input Schema

Name	Required	Description	Default
`project_slug`	No	Project slug (e.g. 'my-app'). Optional if VOTESHIP_PROJECT_SLUG env var is set.

Output Schema

Name	Required	Description	Default
`posts`	Yes
`boardUrl`	Yes
`projectSlug`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 22, 2026

TDQS

A3.9/5.0

Behavior4/5

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

Annotations already declare readOnly and idempotent. The description adds useful behavioral context: no API key needed, posts sorted by vote count, and an interactive board render. This goes beyond the annotations without contradicting them.

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 front-loaded with a 'Use this when' clause and keeps the total length reasonable. Some redundancy exists between 'inspect, compare, or interact' and 'View approved feature requests', but it remains efficient.

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 the output schema exists and annotations cover safety, the description provides enough context: public board, no auth, sorting behavior, and rendering. Nothing critical is missing for an AI agent to call this tool correctly.

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 single parameter (project_slug) is fully documented there. The description adds no additional parameter semantics, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool browses and views approved feature requests on a public board, with specific verbs and resource. It doesn't explicitly name sibling tools for differentiation, but the contrast with write operations (add_public_comment, submit_feature_request, upvote_post) is implicit.

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?

Provides an explicit trigger ('Use this when the user wants to inspect, compare, or interact with approved requests'), which gives clear context for when to use it. It doesn't mention alternatives or exclusions, so it stops short of full routing guidance.

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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