taiga_projects_like
Express approval for a Taiga project by liking it with its project ID.
Instructions
Like a project.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Project ID |
Express approval for a Taiga project by liking it with its project ID.
Like a project.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Project ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description 'Like a project' discloses no behavioral details such as authentication requirements, idempotency, effect on project state, or reversibility. This is essentially a bare action with zero 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 extremely concise, using only three words to state the core action. It front-loads the action effectively with no wasted words, though it borders on under-specification rather than polished brevity.
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 and output schema, the description leaves out critical context such as required permissions, what response to expect, and whether liking is idempotent. A simple like action still needs this context to be fully usable.
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 provides 100% coverage for the single 'id' parameter, described as 'Project ID'. The tool description adds no extra semantic meaning, so it meets the baseline but does not go beyond the schema.
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 'Like a project' uses a specific verb 'like' and resource 'project', making the primary action clear. It distinguishes from sibling tools like 'watch' or 'upvote' by its unique verb, but does not explicitly name alternatives, so it is clear but minimal.
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 instead of similar ones such as taiga_projects_unlike or taiga_projects_watch. The description provides no context, exclusions, or preferences, leaving the agent to infer usage solely from the name.
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