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

With no annotations, the description carries the full burden and does well: it discloses that rankings come from saved 30-day aggregate data with a snapshot date/age rather than a live execution test, which prevents the agent from over-trusting results. It omits return shape, pagination/limit behavior, and any auth or rate-limit constraints, so it is not exhaustive.

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 core action is front-loaded in the first sentence, followed by the evidence caveat and then per-parameter rules. Four dense sentences, each carrying informatio not present in structured fields; minor awkwardness in embedding a schema-style constraint sentence inside prose.

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 or annotations exist, so the description must stand alone; it covers purpose, ranking inputs, data provenance, and the trickiest parameter. It leaves 'limit' semantics and the shape of returned results unaddressed, which is a modest gap for a 3-param discovery 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 description coverage is 0%, so the description must compensate, and it does for the two non-obvious params: min_success_rate's finite 0-1 inclusive range and the zero-vs-positive 'unknown rate' rule, plus site with concrete domain/name examples including multi-word inputs. The 'limit' parameter is never mentioned, leaving one of three params unexplained.

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 ('Rank ready-made scrapers') plus the ranking criteria (30-day usage, success rate, price), which is concrete enough to distinguish it from a single-pick tool like best_scraper. It never explicitly names a sibling or contrasts itself with best_scraper/compare_scraping_apis, so the differentiation is implied rather than stated.

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 nature of the ranking data but gives no guidance on when to reach for this tool versus best_scraper or the compare_* siblings. There are no stated prerequisites or exclusions; the 'snapshot, not live test' caveat is useful context but is not usage routing.

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