list_categories
Retrieve all work item categories for a specific project to understand and organize task types.
Instructions
List work item categories in a project
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
Retrieve all work item categories for a specific project to understand and organize task types.
List work item categories in a project
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description must disclose behavioral traits. It only states a read operation but does not specify safety (e.g., read-only), required permissions, or error cases (e.g., invalid projectId). The description is too sparse to provide adequate transparency.
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 short sentence, making it very concise. It wastes no words, but it could be slightly expanded to include key details without losing brevity. The front-loading is adequate.
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 tool has one parameter and no output schema, the description omits important contextual information like the response format, pagination, and error handling. The agent is left with an incomplete understanding of what the tool returns and how to handle failures.
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 one required parameter (projectId) with no description, and the schema coverage is 0%. The description does not add any meaning to the parameter, such as its format, purpose, or constraints. The agent cannot understand what value to provide for projectId.
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 tool lists work item categories in a project. The verb 'list' implies retrieving multiple items, distinguishing it from 'get_category' which likely retrieves a single category. However, it does not explicitly define what a category is or how it relates to work items.
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?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, such as requiring the project to exist, or when not to use it (e.g., if the user needs a single category by ID).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jompereira/HacknPlan-MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server