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

Annotations already include readOnlyHint and openWorldHint, and the description adds that the tool costs $0.01 USDC and accepts x402 (USDC on Base), plus notes the output is AI-classified/scored. There is no contradiction with the read-only or open-world hints.

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 well-structured: it opens with the core function, then explains the output, followed by usage guidance, alternatives, and cost/payment. Every sentence adds value with no redundancy 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?

The description covers the tool's purpose, when to use it, cost, payment method, and alternatives. With only two optional parameters and no output schema, it provides all necessary context for an agent to invoke it correctly.

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 schema descriptions for both parameters (days and min_score) include meaning, examples, and defaults, providing full coverage. While the baseline for 100% coverage is 3, the concrete examples and default explanations elevate the clarity, though they don't go beyond what a well-written schema already offers.

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 the tool scans GitHub, Hacker News, and npm for new repos, packages, and discussions in the agent payments ecosystem, and returns AI-classified/scored opportunities with recommended actions. It also explicitly names sibling tools (get_protocol_info, compare_protocols) to distinguish its purpose.

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?

It explicitly says to use this tool when the user asks about recent activity, new developments, or opportunities in agent payments, and directs the user to use get_protocol_info for static details or compare_protocols for side-by-side comparison. This provides clear when-to-use and when-not-to-use guidance.

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