Skip to main content
Glama
waystation-ai

WayStation MCP Server

Official

listLinearIssues

Retrieve and manage Linear issues through WayStation MCP Server's integration hub for productivity tool connectivity.

Instructions

Retrieves a list of issues from Linear.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of issues to return (default: 50)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Retrieves a list' but doesn't clarify if this is a read-only operation, how it handles pagination (beyond the 'limit' parameter), what authentication is required, or potential rate limits. This leaves significant gaps for a tool that likely interacts with an external API.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete for a tool that likely returns complex issue data. It doesn't explain the return format (e.g., fields included, structure), error handling, or any behavioral nuances, which are critical for an AI agent to use this tool effectively in a broader context.

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, with the 'limit' parameter fully documented in the schema itself. The description adds no additional parameter information beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage without compensating value.

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 action ('Retrieves') and resource ('a list of issues from Linear'), providing a specific verb+resource combination. However, it doesn't differentiate itself from sibling tools like 'listMyLinearIssues' or 'readLinearIssue', which handle similar Linear issue data but with different scopes or formats.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'listMyLinearIssues' (which might filter by user) or 'readLinearIssue' (for single issues), nor does it specify any context, prerequisites, or exclusions for usage.

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

Install Server

Other Tools

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/waystation-ai/mcp'

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