get_task
Get full details of a WattCoin task: requirements, reward, deadline.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | Task ID (e.g., task_abc123) |
Get full details of a WattCoin task: requirements, reward, deadline.
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | Task ID (e.g., task_abc123) |
Changes observed during successful MCP inspections.
Does 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 implies a read-only lookup and lists the returned fields, but says nothing about what happens with an invalid or missing task_id, permission requirements, or any auth constraints.
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 that front-loads the verb and resource with no waste. It is appropriately sized for a simple lookup tool, though it is minimal almost to the point of under-specification.
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?
For a one-parameter read tool this is close to adequate, and it does gesture at return content (requirements, reward, deadline). With no output schema to fall back on, however, the description should more fully enumerate what 'full details' includes and how missing tasks are handled.
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 100% and the single task_id parameter is documented with an example format (task_abc123), so the schema does the heavy lifting. The description adds no additional semantic detail about the identifier beyond confirming the tool is scoped to WattCoin tasks.
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?
States a specific verb and resource ('Get full details of a WattCoin task') and names the three fields returned, which is more than a bare restatement of the name. It does not, however, distinguish itself from the sibling list_tasks or browse_marketplace, so an agent must infer the difference from context.
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 explicit when-to-use guidance, nor any mention of alternatives such as list_tasks (to discover task IDs) or browse_marketplace. The implication that this is the follow-up call after finding a task_id is left entirely to inference.
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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