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

With no annotations, the description carries the full burden and does so well: it discloses cost ($0.10 USDC on Base Sepolia), the x402 two-step handshake (call once without payment to get terms, then retry with signed payment in _meta['x402/payment']), and that work is asynchronous via a request ID. These are exactly the operational traits an agent needs before invoking.

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?

Three dense sentences, front-loaded with purpose, then mechanism, then payment. Every clause carries information, though the payment sentence is long and slightly compounds two ideas (cost and the retry protocol).

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?

No output schema exists, yet the description explains what comes back (a request ID) and how to use it (get_briefing). With the cost, payment protocol, and async retrieval all documented, an agent has everything required to call this tool correctly on the first attempt.

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 coverage is 0% for the single 'question' parameter, so the description must compensate, and it does: 'Provide a question or topic' conveys that free-form natural-language input is expected. It does not describe length limits or formatting, but the semantic intent is covered adequately for a one-param 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?

States a specific verb and resource ('Request a sourced research briefing from Mara, an AI research agent') and clarifies the output is a request ID rather than the briefing itself. It partially distinguishes from siblings by naming get_briefing as the retrieval path, but does not contrast with fulfill_briefing or list_queue, which sit in the same queue-oriented family.

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?

Gives clear context for invocation ('Provide a question or topic') and an explicit follow-up path ('can be retrieved with get_briefing'). It also spells out the payment precondition, which tells the agent when the tool will succeed versus return payment terms. No explicit when-not-to-use guidance or comparison to fulfill_briefing is offered.

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