get_task
Retrieve the details of a task from the shared queue using its task_id, so AI agents can read task info before claiming or processing work.
Instructions
Read a task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Retrieve the details of a task from the shared queue using its task_id, so AI agents can read task info before claiming or processing work.
Read a task.
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that — no note on whether the task must exist, whether it returns stale data, or what happens for an unknown/invalid task_id.
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?
It is a single front-loaded sentence with zero padding, which is structurally clean. But the brevity comes from under-specification rather than efficiency — the sentence does not carry enough weight to justify its place as the tool's entire guidance.
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?
With no output schema and a bare input schema, the description should at minimum indicate what a returned task contains or how failures surface. It leaves the agent without any behavioral or return context beyond the read-only annotations.
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 single parameter task_id has 0% schema description coverage and is not explained in the description at all — no format, source, or example is given. The description therefore fails to compensate for the schema gap on the one parameter the agent must supply.
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?
"Read a task" gives a clear verb (read) and resource (task), so the basic operation is identifiable. However, it offers no differentiation from siblings like list_tasks, review_task, or get_execution_job, which also surface task information, so an agent cannot tell precisely when this one is the right pick.
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 when-to-use guidance, no mention of alternatives, and no prerequisites or exclusions. With a crowded task-tool family (claim_task, approve_task, review_task, list_tasks), the description does nothing to route the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.