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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is partly covered; the description goes further by disclosing robots.txt compliance, rate limiting, and that only the store's own public pages are read. That is real added behavioral context (rate limits, crawl etiquette, no credential or internal access). It does not say whether the audit is synchronous, how long it takes, or what happens on failure, so it is strong rather than 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?

Three tight sentences, front-loaded with the action and outcome, then behavior, then input constraint. Every clause carries information; nothing is restated from the title or annotations.

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 correctly spends words enumerating what is returned (platform, failed checks, benchmark comparison). Input constraints and operational limits are both covered, so an agent can call this correctly on the first attempt without further context.

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 `url` parameter is already documented as a domain or URL. The description adds non-obvious semantic constraints not in the schema: pass the bare domain (example.com), never an internal host or IP address. This meaningfully shapes how the value must be formed.

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 ('Run oddly's free storefront audit against a public ecommerce domain') and explicitly enumerates the returned findings: detected platform, failed checks, and catalogue comparison to category norms. The scope word 'public ecommerce domain' cleanly separates it from benchmark_* and record_* siblings, which operate on stored benchmark/answer data rather than live storefronts.

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 when this tool applies ('a public ecommerce domain') and a hard exclusion ('Never pass an internal host or an IP address'), which prevents misuse on private infrastructure. It stops short of naming an alternative tool or stating what to do when the corpus cannot say (the hedged 'where the corpus can say'), so it is clear but not fully routing-aware.

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