SSANVPS - VPS & domain price comparison

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds meaningful context about what the computation includes (renewal price hikes, WHOIS privacy fees, ranking output), but says nothing about data freshness, currency handling, or how many registrars are covered.

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?

A single dense sentence with the action and scope front-loaded and no filler. Every clause (TCO, registrars, TLD, renewal hikes, privacy fees, savings) carries information.

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 a read-only two-parameter calculation tool with fully documented schema and no output schema, the description covers what is computed and over what horizon. Minor gaps remain around data source/freshness and output shape, but nothing essential for calling it correctly is missing.

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 both parameters (tld, years) are already documented in the schema, including the 1-5 range and default. The description's '1-5 year' restates the schema rather than adding new syntax or format guidance, 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 (Calculate and rank) plus a precise resource and scope (1-5 year TCO across all registrars for a given TLD), and enumerates the cost components included (renewal hikes, WHOIS privacy fees). An agent can distinguish it from siblings like domain_prices or compare_providers without opening a schema.

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 phrase 'showing potential savings' hints at the use case, but there is no explicit when-to-use guidance and no routing to or exclusion of alternatives such as compare_providers or get_best_deals. Usage is implied rather than stated.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safe-read profile is covered and the description does not contradict it. The description adds the set of comparison outputs, but is silent on behavior such as what happens when a provider id is unknown, whether results are ordered, or how Seoul availability is determined.

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 tight sentences, front-loaded with the verb and scope; the enumerated outputs carry real information. The trailing optional-filter clause reads as an afterthought rather than being integrated into the structure, but there is no filler.

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 usefully enumerates what comes back per provider, which is the key thing an agent needs. It stops short of covering the 2-6 bound's error behavior and the effect of spec filters on unmatched providers, a modest gap for a low-complexity read 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 only 33% (just 'Provider ids or names' for providers). The phrase 'Optionally only plans meeting minimum specs' partially compensates by implying min_vcpu and min_ram_gb filter plans rather than providers, but it gives no units, defaults, or hint that non-matching providers are dropped or returned empty.

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 (Compare) and resource (VPS providers) plus the exact comparison dimensions returned: plan count, cheapest plan, best-value plan, and Seoul availability. The 2-6 provider scope makes it self-evidently distinct from get_provider (single) and find_vps (search), so an agent can route without opening the schema.

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 only usage signal is 'Optionally only plans meeting minimum specs,' which hints at filtering but never says when to choose compare_providers over find_vps or get_provider. No prerequisites, no exclusions, no alternative routing are stated.

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

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), and the description adds substantive computation semantics: total cost components (first-year registration + renewals + WHOIS privacy), the 1-5 year horizon, and pre-tax USD normalization. It says nothing about result ordering, pagination, or how many registrars are returned by default, but the added cost model is real value.

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, both carrying load: the first defines scope, cost model, and unit; the second front-loads the negative constraint that prevents a wrong invocation. No filler.

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 should carry return-shape burden; it implies a ranked registrar list via 'compare' and the limit parameter but never states what a result entry contains. Otherwise complete for a read-only, three-parameter lookup with full schema coverage.

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% — each parameter already documents its format, range, and default (tld without dot, limit ≤30 default 10, years 1-5 default 5). The description reinforces the single-extension scope and the meaning of the year horizon, but adds no parameter-level syntax or constraints beyond the schema, so the baseline of 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 (compare domain registrars) scoped to one extension and a defined cost basis. This is clearly distinguishable from the generic sibling compare_providers and from get_provider/find_vps without opening any schema.

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 an explicit exclusion — 'This does not check whether a name is available' — which prevents a common misuse, and implies the context (pricing research for a chosen TLD). It stops short of naming an alternative tool for availability checks or for multi-extension comparisons.

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

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

Annotations cover safety (readOnlyHint=true, openWorldHint=false), so the bar is lower, and the description still adds real behavior: results are deduplicated to the best plan per provider unless one_per_provider is false, and default ranking is by value index. It does not describe result size limits or pagination, but for a read-only search this is solid disclosure.

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, no filler, with the core purpose and the return-shape caveat front-loaded. Nothing is redundant enough to cut, though it is slightly dense with parenthetical defaults.

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 a 9-parameter read-only search with no output schema, the description covers the important unknown: how results are collapsed per provider. Minor gaps remain around result ordering ties and whether the limit interacts with deduplication.

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 all nine parameters are already documented in the schema; baseline 3 applies. The description restates the default sort and the semantics of one_per_provider, which adds only marginal value over the enum/boolean descriptions already present.

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 (Find) and resource (no-commitment monthly VPS plans) plus the qualifying constraint (meet minimum specs) and default ordering. That is enough for an agent to distinguish it from compare_providers, get_provider and domain_prices, though no sibling is named explicitly.

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?

Usage is implied by the search framing and the mention of sort defaults, but there is no explicit statement of when to use this instead of compare_providers or get_provider, and no prerequisite or exclusion guidance.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds freshness ('today's') and the no-argument effort profile, but says nothing about pagination, result counts per category, or how the curated picks are chosen.

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 short sentences, front-loaded with the payload ('top VPS highlights') and closed by the key differentiator ('Fast zero-argument overview'). Nothing is padded or repeated.

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 must convey what is returned, and it does by naming the three category buckets and the daily refresh. It omits result-shape details (e.g., fields per plan) and the effect of the limit/category filters, which the schema partially covers.

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 both parameters (limit, category) are already documented with defaults and enum values. The description's mention of value/cheap/seoul mirrors the enum rather than adding new meaning, 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 ('Get today's top VPS highlights') and enumerates the three returned categories, so the agent knows exactly what comes back. It does not, however, differentiate itself from siblings like find_vps or compare_providers, which an agent might reasonably consider for the same intent.

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?

'Fast zero-argument overview' implies this is the quick-scan entry point rather than a filtered search, which is useful context. But no alternative is named and no when-not-to-use condition is given, so the routing decision against find_vps is left to inference.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description usefully adds that only no-commitment plans are returned and that results include a value index and rank, but does not discuss auth or rate limits.

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 tight sentences with the returned content front-loaded and the accepted input forms immediately after. No filler.

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 compensates by listing what is returned and how results are ranked. For a single-parameter read-only lookup this is nearly sufficient, though it omits pagination or ordering caveats.

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% and the single parameter is already documented as 'Provider id or name'. The description goes beyond the schema by supplying concrete examples ('vultr', 'DigitalOcean'), clarifying that either identifier form is accepted.

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 (all no-commitment plans of one VPS provider) and enumerates the returned content (specs, prices, value index, rank). The phrase 'one VPS provider' implicitly distinguishes it from the multi-provider compare_providers sibling, but no sibling is named outright.

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?

Usage is implied by the accepted input ('provider id or name'), so an agent can infer it is a per-provider lookup, but the description never states when to prefer it over compare_providers or find_vps.

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