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

Annotations already mark the tool as destructive and non-readonly, so the description does not need to restate that. It adds meaningful context: the tool creates and funds an on-chain escrow in USDC and executes a task, signaling real financial side effects. It does not mention refunds or irreversible consequences, but the annotation coverage plus the explicit funding language is adequate.

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 efficiently structured: first the high-level action, then the step-by-step mechanism, then the target use case. Every sentence earns its place, and there is no redundant phrasing or meta-commentary.

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?

Since an output schema exists, return-value details are not needed. The description conveys the full pipeline, the on-chain payment side-effect, and the target audience, which covers the main consequences an agent must know. A minor gap is the lack of caveats about refundability or execution timing, but the annotation and clear funding language mitigate that.

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 each parameter has a clear description already. The description adds only marginal workflow meaning — e.g., that capability drives the search — but it does not materially enhance the parameter understanding beyond what the schema already provides. The baseline of 3 for fully covered schemas is appropriate.

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 verb-resource pair ('Hire an agent from the marketplace to execute a task') and lays out the complete workflow: search, escrow, fund, execute, return. It also distinguishes itself from sibling tools by calling itself the 'one-call bridge' for local orchestrators, contrasting with more granular marketplace tools.

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 explicitly identifies the intended usage context: local orchestrators (Claude Code, Curror, etc.) needing a single call to the marketplace. It implies a contrast with multi-step data_session_* tools like data_session_fund or data_session_attach_escrow, though it does not explicitly name when-not-to-use alternatives. Still, the usage framing is clear enough.

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