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

With no annotations, the description carries full burden. It fully discloses the pay-per-call mechanism (x402 on Base, $0.008 USDC), the real-time aggregation, sentiment analysis, story clustering, and the payment workflow – comprehensive behavioral transparency.

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 plus a payment note, all front-loaded with the most important information (what it does, then how to pay). Every sentence earns its place without repetition or fluff.

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?

Given no output schema or annotations, the description covers the tool's purpose, filtering, sentiment analysis, clustering, and payment flow completely. It tells the agent what to expect from the first call and how to complete payment, making it self-sufficient for correct 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?

Schema coverage is 100%, so baseline is 3. The description adds high-level context (sentiment analysis, clustering) but doesn't enhance parameter meanings beyond what the schema already provides for limit, since, topic, etc.

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 'Aggregated real-time cryptocurrency news feed with lexicon-based sentiment analysis and cross-outlet story clustering' – a specific verb-resource pair with unique features (sentiment, clustering) that clearly distinguishes it from sibling tools like get_crypto_prices or get_market_pulse.

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 explains the paid nature and the two-step payment flow ('First call without payment_signature returns the payment requirements'), providing clear context for usage. It does not explicitly contrast with siblings or state when not to use it, but the payment instructions are valuable guidelines.

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