taiga_projects_stats
Fetches project statistics for a specified project ID, enabling quick analysis of project performance and progress.
Instructions
Get project stats.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Project ID |
Fetches project statistics for a specified project ID, enabling quick analysis of project performance and progress.
Get project stats.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Project ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must fully disclose behavioral traits. It only implies a read operation ('Get') but does not describe what data is returned, whether the stats are computed on the fly, or any access requirements. This is insufficient for an agent to predict tool behavior.
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 concise sentence with no wasted words. While it lacks detail, conciseness itself is well-served; there is no redundancy or fluff.
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 simple schema (one parameter) and lack of output schema/annotations, the description still feels incomplete. It does not specify what 'stats' includes, and the existence of sibling stats tools (member stats, issues stats) creates ambiguity that the description fails to resolve.
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 covers 100% of the parameter ('id' as 'Project ID'), so a baseline of 3 is appropriate. The description adds no additional meaning or context about the parameter beyond what the schema already provides.
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 'Get project stats' clearly states a verb and resource, indicating a read operation for project statistics. However, it does not distinguish this from sibling tools like taiga_projects_member_stats or taiga_projects_issues_stats, which offer more specific stats.
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?
There is no guidance on when to use this tool versus alternatives such as taiga_projects_list, taiga_projects_get, or other stats endpoints. The description provides no context, prerequisites, or exclusions, leaving the agent with no decision support.
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/illodev/taiga-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server