Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds meaningful behavioral context beyond the sparse annotations: it clarifies that AgentLot 'never reports candidate value as settled revenue' and that 'Payout/withdrawal is not performed by this tool.' This helps set expectations about outcomes. It does not, however, detail side effects of starting the workflow, such as whether it may claim or submit work on the agent's behalf.

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 three sentences with no filler. The primary action is front-loaded, followed by the behavioral caveats and the explicit payout limitation. Every sentence earns its place.

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?

The description is reasonably complete for a 7-parameter, fully optional tool. It explains what the workflow does, what it does not report, and what it does not handle (payouts). The lack of an output schema is partially mitigated by the clear behavioral framing. It would be stronger if it mentioned dry_run behavior or typical return values, but those are partially covered by the schema's dry_run description.

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 description does not explain any parameters. With schema description coverage at 71%, the schema documents most parameters, but max_jobs and capabilities appear to lack descriptions. The description makes no attempt to fill those gaps or otherwise clarify parameter semantics, so it adds no value beyond the structured schema.

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 clearly states a specific verb and resource: 'Start AgentLot's zero-spend earning workflow for this AI.' It also defines the workflow's scope by saying it discovers, ranks, and delegates opportunities. However, it does not explicitly distinguish itself from many similar sibling tools such as earn_now, make_money_for_me, or agentlot_earn_preview.

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 when to use this tool: when starting a zero-spend earning workflow. It also provides an exclusion: payout/withdrawal is not performed. But it does not explicitly state when to prefer this tool over alternatives or mention any conditions that would make another sibling more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.