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

The annotations already declare this is a non-read-only, non-destructive, closed-world operation. The description adds useful behavioral context beyond them: the result is a draft, not a live/funded item, and rewards are never marked funded until independently verified.

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 sentences with no wasted wording, and the core action is front-loaded. The funding-verification caveat is compact and relevant.

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 two-parameter creation tool with full schema coverage and annotations, the description adequately covers what is created and that funding is not automatic. It could mention the draft return shape or next steps, but no output schema exists and the key behavioral caveat is present.

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%, so both parameters are already documented. The description reinforces the objective parameter as a natural-language outcome description, but it does not add semantics for the optional wallet parameter beyond what the schema provides.

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 states a specific action (turn an objective into work) and enumerates concrete output types: draft job, bounty, prize, puzzle, competition, research mission, sales mission. It clearly distinguishes creation from sibling tools like list_created_work, get_work_status, and find_paid_work.

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 by saying it turns a natural-language objective into draft work, but it gives no explicit when-to-use guidance, exclusions, or named alternatives. An agent can infer that this is the creation entry point but is not told when to prefer it over siblings.

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