RentServers.com

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 domain context (which providers, which effective dates, that renewal rules and stay-vs-switch guidance are included) but does not describe output shape or how results are ordered/limited.

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?

Front-loaded with the providers and effective dates, then closes with the actionable next step. The parenthetical date lists make the opening sentence dense, but nothing is redundant 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 more of the return-value burden; it hints that SKU ids are returned and mentions renewal rules and stay-vs-switch content, but never describes the result structure or optionality of the two params (0 required). Adequate but incomplete.

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 50%: the 'sku' parameter is documented with examples and 'provider' has an enum, so the schema does most of the work. The description reinforces that results are keyed by SKU and enumerates the two providers, which mildly adds meaning but no format or defaulting detail.

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?

The description names the specific resource (2026 provider price changes by SKU), the covered providers (Hetzner, OVHcloud) and the exact effective dates, which is far more concrete than the opaque tool name 'audit_...'. It does not explicitly distinguish itself from the sibling get_server_price_index, but the scope is clear enough to select it.

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?

It gives one routing instruction — use the returned SKU ids with calculate_36_month_tco — which is genuinely useful follow-up guidance. However, it never says when to use this tool versus get_server_price_index or request_blind_counter_quotes, so usage is only implied.

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 safety (readOnlyHint=true, openWorldHint=false), so the bar is lower, and the description still adds real behavior: an assumed yearly price rise is applied, and 'anything not stated is flagged and counted as $0' tells the agent how missing inputs are treated. It does not describe the return shape or the units of the result, but for a read-only calculator this is solid added context.

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?

Front-loaded with purpose in the first clause, and every sentence adds information - the mode selection and the $0 default rule are not filler. The second sentence is a dense run-on with nested parentheticals and braces that hurts scanability somewhat, but nothing is redundant.

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?

The tool has 11 parameters, a nested scorecard object with no inline schema, and no output schema, yet the description never says what is returned (a single TCO figure, a per-quote breakdown, a comparison table?). The scorecard shape is described in prose and deferred to an external URL, leaving the agent to guess required fields. Adequate but with a clear gap for a scoring 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 18% across 11 parameters, so the description carries most of the burden and largely succeeds: it explains incumbent_sku's id format with examples (ovh-advance-2-2026), the role incumbent|bid choice, and the scorecard sub-fields (units, pricing base/unit/gpusPerUnit/promo, setupFeePerUnit, extraIPv4, egress, sla, deliveryDays). Several parameters (annual_escalation_pct, ipv4_monthly_each_usd, overage_usd_per_tb, included_tb_per_server) are only inferable from their names.

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: 'Normalizes server costs over 36 months', then enumerates exactly which cost components are folded in (rent, setup fees, extra IPv4, egress overage, add-ons). It also names the upstream sibling audit_2026_provider_repricing as the source of incumbent_sku ids. It does not differentiate itself from get_server_price_index or request_blind_counter_quotes, so it stops short of a 5.

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 either/or routing rule: pass incumbent_sku with quantity, or pass a full scorecard to compare multiple quotes. That is genuine when-to-use guidance. There are no when-not conditions, prerequisites, or explicit sibling alternatives beyond the incumbent_sku provenance note.

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 establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that figures are 'current, dated' and sourced from published quote medians, but says nothing about refresh cadence, the date range covered, staleness, or licensing/provenance limits on the numbers.

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 purpose statement is front-loaded in the opening clause and the category detail is delivered as a tight parallel list. It is information-dense and earns its length, though the middle inventory of SKUs and tiers is slightly crowded for a single sentence.

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 does the work of describing the return content, and with all three parameters optional at full schema coverage there is little else required. The remaining gap is freshness semantics — 'dated' implies timestamps but no window or update frequency is stated.

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% and the descriptions for model, region, and category are already explicit, including enumerations and defaults ('Defaults to gpu, or dedicated when model is a server SKU'). The prose largely restates the category breakdown rather than adding format, unit, or interaction details 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?

The description names a specific resource (rental price benchmarks) and then enumerates exactly what it returns per category: GPU on-demand/reserved medians, dedicated entry floors and SKU prices, VPS cheapest and median by size. That level of specificity lets an agent distinguish it from audit_2026_provider_repricing, calculate_36_month_tco, and request_blind_counter_quotes 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?

Usage is implied by the content inventory (look up benchmark pricing rather than model TCO or solicit new quotes), but the description never states when to choose this tool over calculate_36_month_tco or request_blind_counter_quotes. No prerequisites, exclusions, or routing conditions are given.

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 declare openWorldHint=true and idempotentHint=false, and the description adds meaningful context beyond them: a human must click a confirmation link before external providers are contacted, and 3+ providers are actually engaged. It does not warn about duplicate tickets on repeat calls (relevant given idempotentHint=false) or any rate limiting, which keeps it from a 5.

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 dense sentences, front-loaded with what the tool does and immediately followed by the gating condition and the disqualifying cases. No restatement of the title and 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?

For a 16-parameter, non-idempotent, externally-facing tool with no output schema, the description covers purpose, prerequisites, exclusions, and roughly what comes back ('the reply lays every quote out on one 36-month basis'). The remaining gap is that it never explains how the many optional spec/incumbent fields should be populated.

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 only 6% across 16 parameters, so the description carries most of the burden. It clarifies a few high-value ones implicitly (work_email required, monthly_budget_usd via the $100/mo floor, category/quantity via the single-VPS exclusion, term_months via the 36-month basis), but gpu_model, gpu_count, incumbent_*, renewal_date, region, and notes get no explanation anywhere.

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 ('Opens a counter-quote request with the RentServers.com desk') plus the mechanism (3+ providers bidding blind, normalized to a 36-month basis), which clearly separates it from calculate_36_month_tco and get_server_price_index. It stops short of naming any sibling explicitly, so it is clear but not fully differentiated by routing language.

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 use condition ('Only call this when the user asks for quotes and provides their work email') and explicit exclusions ('Requests under $100/mo or for a single VPS get self-serve list prices instead of a ticket'). The confirmation-link gate is stated as a prerequisite before any provider is contacted, leaving nothing to inference.

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