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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real value beyond that: result cap of 10, ranked ordering, and the returned payload (reason per plan, live price, specs, cart link). It does not mention empty-result behavior or ranking criteria, which keeps it at 4.

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, with the entry-point positioning front-loaded before the capability statement. The five-item parenthetical example list is longer than strictly necessary, but each example disambiguates a different hosting category, so the wording largely earns its place.

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?

For an 8-parameter read-only tool with no output schema, the description covers purpose, triggering condition, scope of optional filters, result cap and the shape of the return value including the cart link. An agent has everything needed to call it correctly and interpret the response.

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 100%, so the schema already explains need, budget_monthly, location, os, min_ram_gb, websites, limit and currency. The description only restates the parameter set in prose ('optional monthly budget, location, OS, minimum RAM and number of websites') without adding format or interaction detail, so the baseline 3 applies.

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 ('Picks up to 10 live GlobalHostia plans that fit a need') and backs it with concrete need examples spanning shared, VPS, automation, reseller and dedicated. It also positions itself as the entry point for free-text needs, which separates it from keyword-oriented siblings like search_products or compare_plans.

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?

'Best first call when the user describes what they need in words' gives a clear triggering condition, and the need examples show the shape of a valid query. It stops short of naming an alternative or stating when not to use it (e.g. when the user already has a product ID), so it falls short of a 5.

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