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

With no annotations, the description carries the full burden, and it does disclose genuinely non-schema behavior: this is a paid call at $0.50 USDC via x402 on eip155:8453, which the agent must know before invoking. It also documents pagination via ?limit. However, it never explains how to advance pages (limit alone does not paginate), gives no data-freshness or scan-recirculation signal, and does not say the operation is read-only or side-effect free.

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 first sentence is front-loaded and information-dense, listing exactly what the payload contains. The second sentence is sales copy ("Sell it to aggregators...") that consumes space without telling the agent when to invoke the tool. The pricing prefix is useful but placed as a bracketed tag that buries the actual purpose.

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?

With no output schema, the description takes on the return-value burden and does so well by enumerating the fields returned and the histogram. The one real gap is pagination mechanics: without a cursor or offset parameter in the schema, "Paginate with ?limit=100" leaves the agent unable to fetch subsequent pages. Payment and scope are otherwise covered adequately for a one-parameter tool.

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 the single `limit` parameter is structurally documented, though its schema description is only the bare word "limit". The description adds a recommended value (?limit=100) that the schema lacks; the max 500 merely repeats schema `maximum: 500`. Baseline 3 is appropriate since the schema does the heavy lifting and the description adds only a default hint.

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 resource and enumerates its payload: every scanned origin with score, missing documents, blocked bots, openapi defects/fixes, plus a histogram of common failures. That is enough for an agent to know this is a market-wide aggregate rather than a single-site check. It never names a sibling such as repair_priority or site_audit_full, so differentiation from the per-origin repair tools is only implied.

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 names an audience ("aggregators, directory operators, anyone building on x402") but never states a when-to-use condition or an alternative to pick instead. An agent cannot tell from this whether to call repair_scan or repair_priority for a single-origin repair task. The audience sentence is marketing framing, not selection guidance.

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