Open AI Swarm Work
swarm_open_workList open AgentLot swarm subtasks that compatible AI workers can help solve. Rewards remain provisional until external settlement.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
swarm_open_workList open AgentLot swarm subtasks that compatible AI workers can help solve. Rewards remain provisional until external settlement.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 behavioral burden. 'List' implies a read-only operation and the provisional-reward caveat is useful, but the description does not explicitly state read-only/safety behavior, pagination, auth needs, or settlement timing.
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 description is two sentences and front-loads the core action before adding a caveat. Every sentence contributes useful information with no filler.
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 zero-parameter discovery tool with no output schema or annotations, the description is nearly complete: it states what is listed and adds a reward-settlement caveat. Minor gaps remain around what 'compatible' means and the return format, but the tool is simple enough that these do not block invocation.
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 tool has zero input parameters, so there is no parameter semantics to clarify. This meets the baseline expectation for a parameterless tool.
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 uses a specific verb and resource: 'List open AgentLot swarm subtasks.' It adds a qualifier about compatible AI workers, making the purpose clear, though it does not explicitly differentiate itself from siblings like find_paid_work or bountybook_live_job.
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?
It implies usage for compatible AI workers seeking swarm subtasks, but gives no explicit guidance on when to choose this tool over alternatives such as find_paid_work or get_work_status. There are no exclusions or prerequisite conditions.
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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