Get an AI task
get_taskOne task with settings, classes, examples, qualification, reference item count and item counts by status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes |
get_taskOne task with settings, classes, examples, qualification, reference item count and item counts by status.
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already signals a safe read, so the bar is lower. The description adds useful context by disclosing what is bundled into the response (settings, classes, examples, qualification, item counts), but says nothing about failure modes (unknown taskId) or auth requirements.
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?
A single tight sentence with no filler, though it is a noun-phrase fragment rather than a front-loaded statement of action. Nothing is wasted, but it reads more like a field list than a structured definition.
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?
There is no output schema, so the description reasonably compensates by enumerating the returned fields, which is good. For a one-parameter read-only tool this covers most needs, but parameter origin and error behavior remain undocumented.
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?
There is a single taskId parameter at 0% schema description coverage, so the description should carry meaning. It implies which task is returned but never mentions taskId, its UUID format, or where the id comes from; the parameter is self-evident, but compensation for the coverage gap is absent.
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 makes clear this returns a single task ("One task") and enumerates the payload contents (settings, classes, examples, qualification, counts), which distinguishes it from sibling list_tasks. It lacks an explicit verb, but the resource and scope are unambiguous for an agent to select it.
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 prerequisites, and no named alternative (e.g. list_tasks for many tasks, get_results for outcomes). The singular-vs-plural distinction with list_tasks must be inferred from the word "One".
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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