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waystation-ai

WayStation MCP Server

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getLinearFavorites

Retrieve favorite Linear projects and issues for authenticated users to quickly access prioritized work items.

Instructions

Retrieves a list of favorite projects and issues from Linear for the authenticated user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. It states it's a retrieval operation, implying read-only behavior, but doesn't disclose details like authentication requirements, rate limits, pagination, or what happens if no favorites exist. This leaves significant gaps for a tool that interacts with user data.

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 front-loads the core action ('Retrieves') and resource. There's no wasted text, making it easy to parse and understand quickly.

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

Completeness3/5

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

Given the tool has 0 parameters and no output schema, the description covers the basic purpose adequately. However, with no annotations and no output details, it lacks behavioral context (e.g., return format, error handling), which is a moderate gap for a data retrieval tool.

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 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't add parameter details, maintaining focus on the tool's purpose without redundancy.

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 verb ('Retrieves') and resource ('a list of favorite projects and issues from Linear'), specifying it's for the authenticated user. However, it doesn't explicitly differentiate from sibling tools like 'listLinearProjects' or 'listLinearIssues', which might list similar resources without the 'favorites' filter.

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, such as 'listLinearProjects' or 'listLinearIssues'. It mentions the authenticated user context but doesn't specify prerequisites, exclusions, or comparative use cases with sibling tools.

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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