get_task
Fetch task details by ID to view its status, description, and metadata from the task management system.
Instructions
Retrieves information about a task. Args: task_id: Task ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Fetch task details by ID to view its status, description, and metadata from the task management system.
Retrieves information about a task. Args: task_id: Task ID
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only indicates a read operation ('Retrieves information') and omits details about the return payload, not-found behavior, permissions, or side effects.
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 definition is very concise and front-loaded with a clear verb phrase. The Args section is somewhat redundant with the schema, but the overall length is appropriate and easy to parse.
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?
Although this is a simple one-parameter getter, the lack of an output schema and annotations means the description should compensate. It does not explain what 'information' is returned, how errors are handled, or when to prefer this over list_tasks, leaving agents with only the bare invocation details.
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?
Schema description coverage is 0%, but the description's 'task_id: Task ID' merely restates the schema's property title. It adds no format, constraints, examples, or contextual meaning to help the agent use the parameter correctly.
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 states a clear operation, 'Retrieves information about a task', and names the resource. This distinguishes get_task from create_task, update_task, delete_task, and list_tasks, though it does not explicitly say 'by task ID'.
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 gives no guidance on when to use this tool versus list_tasks or other alternatives, and it provides no exclusions or conditions. The agent must infer usage from the tool name and sibling context.
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/feodal01/task-tracker-mcp'
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