list_project_views
Retrieve all available views for a GitHub project to organize and visualize tasks, milestones, and sprints effectively.
Instructions
List all views in a GitHub project
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
Retrieve all available views for a GitHub project to organize and visualize tasks, milestones, and sprints effectively.
List all views in a GitHub project
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's a list operation, implying read-only behavior, but doesn't cover critical aspects like pagination, rate limits, authentication needs, or what 'views' entails (e.g., types, formats). This is a significant gap for a tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's appropriately sized for a simple list tool and front-loaded with the core action, though its brevity contributes to gaps in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't address behavioral traits, parameter details, or return values, leaving the agent with insufficient context for a tool that likely interacts with a complex system like GitHub projects.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, with one required parameter 'projectId' undocumented. The description adds no meaning beyond implying a project context, failing to explain what 'projectId' is (e.g., numeric ID, URL) or where to find it. This doesn't compensate for the schema's lack of documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('views in a GitHub project'), making the purpose unambiguous. However, it doesn't differentiate from siblings like 'list_project_items' or 'list_projects' beyond specifying 'views', which is somewhat helpful but not fully distinctive.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 prerequisites, context, or exclusions, leaving the agent to infer usage from the name alone among many sibling list 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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