cancel_task
Cancel a task from rent_a_human. Before a human accepts it, the full price returns to your credit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| api_key | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Cancel a task from rent_a_human. Before a human accepts it, the full price returns to your credit.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| api_key | No |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the mutation and safety profile is covered. The description adds real value beyond that: the refund condition and the acceptance-time boundary, which an agent needs to reason about consequences. It does not explain post-acceptance behavior or error cases.
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?
Two short sentences, zero filler, with the action front-loaded and the refund consequence immediately following. Nothing is wasted.
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?
An output schema exists so return values need not be explained, and annotations carry the destroy/idempotency profile. Still, for a cancellation tool the description omits what 'id' refers to, whether cancellation after acceptance is possible, and what happens to the task afterward — meaningful gaps.
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% for two parameters, and the description adds no meaning: it never clarifies that 'id' is the task identifier nor what 'api_key' is for. With low coverage, the description should compensate, and it does not.
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+resource ('Cancel a task from rent_a_human'), which is clearly distinct from siblings like get_task, message_task_human, and rent_a_human. It does not explicitly name an alternative sibling, but the operation and its domain are unambiguous.
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 implies usage timing via the refund rule ('Before a human accepts it'), which tells the agent this is for pre-acceptance tasks. However, it never states what to do after acceptance, whether cancellation is still possible, or which sibling to use instead, leaving the boundary 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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