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

Annotations already declare readOnlyHint=true, openWorldHint=true, and idempotentHint=true, covering the safety profile. The description 'Get bandwidth analytics' is consistent with those annotations and adds no behavioral context beyond them, which is acceptable given the annotation coverage. No contradiction.

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 short sentence with zero filler, front-loaded with the essential action. Nothing is wasted.

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?

It is a simple read-only query tool with no output schema, so the description need not explain return values. However, it could usefully mention the time_span options or the from/to date-range behavior, and it fails to disambiguate from the sibling bandwidth-usage tool. Adequate but minimal.

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 75% (env_id, to, from documented; time_span lacks a description). The description adds nothing about parameters beyond the schema, and does not explain the time_span enum options or the relationship between from/to and time_span. With coverage in the mid-range, baseline 3 is fair.

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 ('Get') plus resource ('bandwidth analytics') plus scope ('for an environment'). Clear and unambiguous on its own, but it does not differentiate from very similar siblings like kinsta_analytics_bandwidth-usage, kinsta_analytics_cdn-bandwidth, or kinsta_analytics_cdn-bandwidth-usage, so an agent cannot tell which bandwidth metric it is getting.

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?

No guidance on when to use this tool versus the many analytics siblings. Given kinsta_analytics_bandwidth-usage exists (nearly identical name), there is zero disambiguation about which returns raw bandwidth vs. usage, or how CDN bandwidth differs. An agent must guess.

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, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful context about 'billable' and monthly scoping, but it does not disclose output shape, units, timezone handling, or pagination, which would add behavioral 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?

A single front-loaded sentence conveys the verb, resource, time period, metric type, and scope. There is no filler or redundant restatement of the title.

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 one-parameter read-only analytics tool, the description plus schema is mostly sufficient. The main gap is the absence of return-value details, but the operation is simple enough that 'usage' adequately implies what the caller receives.

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%: site_id is documented as 'The site ID'. The description adds essentially no parameter-level meaning beyond confirming the tool operates 'for a site', 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?

The description uses a specific verb ('Get') and identifies the exact resource: this month's billable bandwidth usage for a site. It is clear about scope, though it does not explicitly distinguish itself from sibling tools like kinsta_analytics_bandwidth or kinsta_analytics_cdn-bandwidth-usage.

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 'this month's billable bandwidth usage' implies a specific billing/usage context, giving some situational guidance. However, there is no explicit statement of when to prefer this tool over the closely related analytics siblings, nor any exclusion criteria.

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 idempotentHint=true, so the description need not restate these. It adds the scope 'for an environment', but this is also evident from the required env_id parameter. No additional behavioral details (e.g., rate limits, auth, return format) are provided, but since annotations cover safety, the description adds minimal but non-contradictory 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?

The description is a single, direct sentence with no filler. It is front-loaded with the core purpose and does not waste words. This is an ideal level of conciseness for a tool description.

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 description is incomplete for an analytics tool with multiple parameters and many close siblings. It does not explain how the date parameters (from/to) interact with time_span, what the response format is, or how it differs from kinsta_analytics_cdn-bandwidth-usage. Given no output schema and no guidance, an agent may not know how to correctly construct a request or interpret results.

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 75% (3 of 4 params have descriptions). The description itself does not mention any parameters, so it adds no extra meaning. The missing description for time_span is somewhat mitigated by its self-explanatory enum values. With moderate coverage and no compensatory description, a score of 3 is appropriate.

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 clearly states the action ('Get') and the specific resource ('CDN bandwidth analytics'), which is distinct from general analytics tools like visits or disk-space. However, it does not differentiate itself from the sibling tool 'kinsta_analytics_cdn-bandwidth-usage', which appears to serve a nearly identical purpose. The purpose is clear in isolation but ambiguous within the set of similar analytics tools.

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 provides no guidance on when to use this tool versus alternatives. It does not mention the -usage variant or any other related analytics tools, nor does it explain conditions that would favor one over another. An agent is left to infer usage from the name alone, which is insufficient given the large number of sibling analytics tools.

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, idempotentHint=true, and openWorldHint=true, so the safety profile is covered and the description does not contradict it. The description adds only the time-scoping detail ('this month's') and 'billable' framing, but says nothing about aggregation or return format. With annotations carrying the safety burden, a 3 is appropriate.

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 sentence with zero wasted words, front-loaded with the verb and resource. Every token earns its place and no information 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?

For a simple single-parameter read tool, the description is mostly adequate, and there is no output schema to document. However, given the close sibling ambiguity (cdn-bandwidth vs cdn-bandwidth-usage), the lack of disambiguation leaves a completeness gap that could cause mis-selection.

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% since the single parameter site_id is documented as 'The site ID' in the schema. The description adds no additional parameter detail, but per the baseline, a 3 is correct when the schema already fully documents the parameter.

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 uses a specific verb ('Get'), a resource ('CDN bandwidth usage'), and adds scoping qualifiers ('this month's billable') plus scope ('for a site'). This is clear and meaningfully distinct from the sibling kinsta_analytics_bandwidth. However, it does not explicitly distinguish itself from the very close sibling kinsta_analytics_cdn-bandwidth, which differs only by the '-usage' suffix.

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 'this month's billable' implies a billing-oriented use case, providing some context. But with four near-identical analytics siblings (bandwidth, bandwidth-usage, cdn-bandwidth, cdn-bandwidth-usage), there is no explicit when-to-use vs when-not-to-use guidance or named alternatives, leaving the agent to infer the distinction.

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, openWorldHint, and idempotentHint, which cover the safety profile. The description adds nothing beyond stating it retrieves analytics; it does not disclose behavior like time range handling, response format, or any limitations. Since annotations carry the load, the description's marginal value is low.

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 description is a single, concise sentence with no filler. It is appropriately short, though it sacrifices substance for brevity, making it slightly under-specified but still efficient.

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 and five parameters, the description is severely incomplete. It does not explain what the returned analytics look like, how time ranges are applied, or the relationship between time_span and from/to. Given the complexity and the need to route among many sibling analytics tools, the description falls short of what an agent needs to call it correctly.

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 60%: to, from, and env_id have descriptions, but time_span and time_zone lack descriptions (only an enum and a pattern). The description provides no additional parameter context, so it does not compensate for the undocumented parameters. An agent would need to infer that time_span has predefined ranges and time_zone requires a specific offset format.

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 states a specific verb ('Get') and resource ('disk space analytics for an environment'), clearly distinguishing it from sibling analytics tools like bandwidth or visits. It does not explicitly name a sibling, but the resource is specific enough to avoid ambiguity.

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?

No guidance is given on when to use this tool versus other analytics tools, nor any mention of typical use cases or prerequisites. The description is purely declarative and does not help an agent decide between this and kinsta_analytics_bandwidth or kinsta_analytics_visits.

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, openWorldHint, and idempotentHint, covering the safety profile. The description adds no behavioral context beyond the word 'breakdown' – no mention of aggregation, date-range handling, or what the response represents. It essentially restates the title without revealing any non-obvious behavior.

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?

One short sentence, front-loaded with the verb and resource, and completely free of fluff. However, it is nearly tautological with the tool title 'Response Codes' and carries little informative weight, so it is not a model of rich conciseness.

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 4-parameter analytics tool with no output schema, the description is too thin. It does not explain what the breakdown contains, how from/to and time_span affect results, or what the response looks like. An agent would have to infer all of this from the tool name and the bare schema, which is a clear completeness gap.

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 75%: env_id, to, and from have descriptions, so the baseline is 3. The description adds no parameter-level semantics, and time_span remains undocumented both in the description and in the schema (only an enum list is provided). This matches the baseline but does not exceed it.

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 states a specific action on a specific resource: 'Get response code breakdown.' This is clearly distinct from sibling analytics tools like top-countries or visits, and the resource (response codes) is identifiable. However, it does not explicitly differentiate from siblings by name or clarify that 'response codes' refers to HTTP status codes, so it falls just 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?

There is no guidance on when to use this tool instead of the many sibling analytics tools, nor any mention of scenarios, prerequisites, or exclusions. The only implicit context is the tool name, which is insufficient for an agent to decide between this and related analytics endpoints.

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, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds no further behavioral context such as what the response looks like, whether results are sorted, how many items are returned, or how the time range is applied. It neither contradicts annotations nor enriches them.

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 description is a single, short sentence with no wasted words and the core action is front-loaded. However, it is under-specified for a tool with four parameters and many siblings, so the brevity comes at the cost of useful guidance.

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?

There is no output schema, so the description carries the burden of explaining expected results, but it does not mention return format, sorting, limits, or how time parameters affect output. Given the tool's complexity—four parameters and many sibling analytics tools—the description is 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?

The description provides no information about env_id, time_span, from, or to. The schema covers 75% of parameters with descriptions, but time_span only has an enum without an explicit description. Since schema coverage is below the 80% threshold, the description should have compensated, but it adds no parameter-level meaning.

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 uses a specific verb and resource: 'Get top autonomous system numbers,' which clearly differentiates this from sibling analytics top-* tools like top-countries, top-cities, and top-browsers. It also expands the acronym ASNs. However, it omits any context about the environment or time span, relying on the schema for those details.

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?

There is no guidance on when to use this tool versus alternatives such as top-countries or top-host. No prerequisites, exclusions, or conditions are stated. The only implied usage is 'if you need top ASNs,' but the description does not help an agent choose among the many sibling analytics tools.

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 readOnly/idempotent behavior, and the description adds no behavioral context beyond 'Get'. It does not state whether results are ranked, paginated, or limited to a period, so it contributes no information beyond the annotations.

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 short sentence with no wasted words. It is concise but slightly under-specified; the brevity is not itself a flaw.

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 tool with no output schema and many analytics siblings, more context is needed: what metric ranks browsers, what the returned list looks like, and how time_span/from/to shape results. The description is a minimum-viable label rather than a complete tool definition.

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?

The schema already documents env_id, to, and from, while time_span has an enum, covering about 75% of parameters. The description adds nothing about parameters, but because the schema is mostly self-explanatory, the gap is modest.

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 states a specific action ('Get') and resource ('top browsers'), which is a distinct report among the top-* analytics siblings. It lacks detail on what defines 'top' (e.g., visits vs. sessions), but the core purpose is unambiguous.

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?

No guidance is provided on when to use this tool over kinsta_analytics_top-uas, top-countries, or other analytics siblings. An agent must infer use entirely from the resource name.

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?

The description is essentially a restatement of the tool name, adding only 'get' and 'visitor'. It doesn't disclose how results are ordered, what 'top' means, or any response characteristics. Since annotations already cover readOnly and idempotent, the description adds minimal behavioral context, leaving the agent to infer the output format.

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 description is one short sentence, which is concise, but it's arguably too terse for a tool with four parameters and many siblings. It lacks any structuring or prioritization of information, but at least it's not bloated. A slightly more detailed description could improve usefulness without sacrificing brevity.

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 description is incomplete for an analytics tool. It doesn't explain what 'top' means (e.g., sorted by visit count), what time range options are available, or what the response structure looks like. Given the absence of an output schema, the description should carry more burden, but it provides only a bare statement of purpose.

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?

The schema already provides descriptions for env_id, from, and to, covering 75% of parameters. The description adds no parameter information, but with high schema coverage, the baseline of 3 is appropriate. The time_span parameter lacks a description but has an enum, which provides some semantic context.

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 'Get top visitor cities' states a specific verb and resource, clearly indicating it retrieves city-level visitor analytics. However, it doesn't distinguish itself from sibling tools like top-countries or top-client-ips beyond the resource name, so it's clear but not fully differentiated.

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 provides no guidance on when to use this tool versus the many other analytics top-* tools. It doesn't mention any prerequisites, such as requiring an environment ID, or any conditions under which one would choose cities over countries. This is a significant gap given the large sibling set.

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?

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. However, the description adds no behavioral context beyond the simple read operation, such as whether results are sorted, limited, or affected by date parameters. No contradiction exists.

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 description is a single sentence with no filler or repetition. It states the operation and object directly, making it immediately scannable and appropriately sized for a simple analytics read tool.

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 simple read-only tool with a small schema, the description is minimally adequate. However, there is no output schema, and the description does not clarify ranking semantics, default time windows, or response shape. These are not fatal gaps, but they leave the agent without enough context for a fully informed invocation.

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 75%, with to, from, and env_id having descriptions and time_span having a self-explanatory enum. The description adds no parameter-level detail, but the schema mostly carries the burden. The uncovered time_span parameter is still understandable from its enum values, so the lack of description-level compensation is acceptable.

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 uses a clear verb and resource: 'Get top client IP addresses.' It states exactly what the tool returns and is sufficiently distinct from sibling analytics tools such as top-countries or top-referrers by naming a specific resource. It does not explicitly contrast itself with any sibling, but the resource alone makes the purpose unambiguous.

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?

There is no guidance about when to use this tool versus the many other analytics top-* endpoints or the broader analytics family. The description does not mention conditions, alternatives, or exclusions, so agents must infer usage solely from the name and schema.

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, openWorldHint=true, and idempotentHint=true, so the safety profile is covered. The description adds minimal behavioral context beyond the resource name; it doesn't mention date range handling, default time spans, or response format. With annotations covering the main behavioral traits, a 3 is appropriate.

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 description is a single concise sentence that front-loads the core purpose. It earns its place with no wasted words, though it could add a bit more context without becoming verbose.

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 simple read-only analytics tool with annotations covering safety and a schema covering most parameters, the description is adequate but not complete. It doesn't mention default time ranges, how the 'top' ranking is determined, or whether results are aggregated. Given the tool's simplicity and the presence of sibling analytics tools, a bit more context would help.

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 75%, so most parameters (env_id, from, to) are documented in the schema. The description adds no additional parameter semantics beyond what the schema provides. The time_span parameter has an enum but no description in the schema, and the description doesn't clarify it either, so the baseline 3 is appropriate.

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 'Get top visitor countries' clearly states the verb (get), resource (top visitor countries), and scope (countries). It is distinguishable from sibling analytics tools like top-cities, top-client-ips, and top-asns by the resource name, though it doesn't explicitly differentiate itself from those siblings.

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 implies usage for retrieving top visitor countries but provides no explicit guidance on when to use this tool versus alternatives like top-cities or top-asns. The context of analytics tools is clear, but no exclusions or alternative routing is 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 already declare readOnlyHint, openWorldHint, and idempotentHint, covering the safety and mutation profile. The description adds no further behavioral context (e.g., return format, pagination, date handling, or what 'hosts' refers to). It essentially restates the tool name, providing no value beyond what annotations already convey.

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 description is extremely terse ('Get top hosts'), which is concise but under-specified. It is not front-loaded with useful information because there is almost none. For a tool with four parameters and no output schema, this is insufficiently informative, crossing from conciseness into incompleteness.

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?

Given the tool has no output schema, the description should at least hint at the return structure or typical result (e.g., list of hosts with metrics). It does not. The description also fails to explain what 'top hosts' means or how it relates to other analytics tools. The agent is left with no idea of the output shape or any caveats, making the definition incomplete for a simple but non-trivial analytics query.

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 75%, with to, from, and env_id documented. The tool description itself adds nothing about parameter semantics. Since the schema covers most parameters, the baseline of 3 is appropriate; the description does not compensate for the undocumented time_span param but is not required to given high coverage.

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 states a clear verb and resource ('Get top hosts'), but it does not distinguish itself from the many sibling 'top-' analytics tools (e.g., top-countries, top-cities, top-referrers). The name carries the differentiation, not the description. It is not a tautology, but it is minimal.

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?

There is no guidance on when to use this tool versus alternatives like kinsta_analytics_top-countries or kinsta_analytics_top-asns. No context about use cases, prerequisites, or exclusion criteria is provided. The description gives the agent no help in deciding between the many top-X analytics siblings.

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, openWorldHint=true, and idempotentHint=true, which cover the safety profile. The description adds no behavioral context beyond the bare action; it does not mention what the output looks like, any rate limits, or data scope. With annotations present, the description is expected to add some context, but it contributes nothing.

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 description is extremely concise at one sentence with no wasted words, which is good for conciseness. However, it is under-specified for a tool with four parameters and a family of similar analytics tools. It lacks structure such as examples or additional context, making it borderline between adequate and too terse.

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 tool with no output schema and four parameters, the description does not explain return values, pagination, or how to interpret results. It also does not help an agent distinguish this from the many other analytics siblings. Given the complexity of the domain, the description is incomplete for correct invocation and result interpretation.

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 75% (to, from, env_id have descriptions; time_span only has an enum). The description does not add any parameter meaning beyond the schema. Since coverage is high, the baseline is 3, and the description does not compensate for the missing time_span description, but it also does not need to given the enum values.

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 'Get top referrers.' clearly states the verb (Get) and resource (top referrers), making the purpose unambiguous. It does not explicitly differentiate from sibling analytics tools like top-countries or top-uas, but the resource name itself is specific enough. It is not a tautology and is more informative than just the tool name.

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?

No guidance is provided on when to use this tool versus other analytics tools (e.g., top-countries, top-uas). The description does not mention alternatives, exclusions, or context such as needing an env_id. The only implied usage is for retrieving referrer data, but there is no explicit routing or comparison to siblings.

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, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds no behavioral context beyond the annotations, such as what data is aggregated or how time_span interacts with from/to. It does not contradict annotations, but it also does not enrich them.

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 description is extremely short ('Get top user agents.'), which is concise but under-specified. It front-loads the core action, but it does not earn its place as a complete tool description because it omits any context that would help an agent select or invoke the tool correctly.

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 tool with 4 parameters, no output schema, and many closely related siblings, the description is incomplete. It does not explain the required env_id, the meaning of time_span, or how this tool differs from top-browsers or top-client-ips. An agent would need to open the schema and infer context from the tool name.

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 75%, so most parameters are already documented in the schema. The description adds no additional meaning about the parameters, such as how from/to relate to time_span or what 'top user agents' means in terms of the returned data. Baseline 3 is appropriate because the schema carries the parameter documentation burden.

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 'Get top user agents' states a clear verb and resource, but it is terse and does not differentiate from the many sibling analytics tools (top-countries, top-browsers, top-referrers, etc.). It identifies what it returns but not the scope or context that distinguishes 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?

No guidance is provided about when to use this tool versus the other analytics top-* tools. The description does not mention the required env_id context, time_span options, or that it is a read-only analytics query. An agent must infer usage from the name and schema.

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?

The annotations already indicate read-only, idempotent, and open-world behavior, but the description adds no behavioral context beyond that. It does not mention default time ranges, how from/to and time_span interact, response shape, or any aggregation behavior.

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 description is a single front-loaded sentence with no wasted words. It is concise, though brevity comes at the cost of missing useful context.

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 tool with four parameters, no output schema, and many closely related analytics siblings, this description is too sparse. An agent lacks the information needed to correctly choose this tool and disambiguate date-window behavior.

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?

The schema already describes env_id, from, and to, but the description adds no parameter-level meaning. The relationship between time_span and the custom date parameters is unexplained, leaving a notable semantic gap for a parameter that has no schema description.

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 states a clear verb ('Get') and resource ('visitor analytics') for an environment, so the basic purpose is identifiable. However, it does not differentiate from the many sibling analytics tools, especially kinsta_analytics_visits-usage, so an agent may still struggle to select this exact tool.

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?

There is no guidance on when to use this tool versus alternatives, or how it differs from the many other kinsta_analytics_* tools. No exclusions, prerequisites, or selection criteria are provided, leaving the context entirely 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, openWorldHint=true, and idempotentHint=true, so the description does not need to repeat safety traits. However, it adds no further behavioral context—no mention of return format, aggregation level, or any constraints. The description is a bare operation statement with no value beyond the annotations.

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 description is a single short sentence with no filler, which is concise and front-loaded. However, it is so minimal that it approaches under-specification rather than effective brevity, though for what it contains it is well-structured.

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 and a description that is only 'Get visit dispersion.', an agent lacks essential context: what dispersion means, what data is returned, how to interpret parameters, or how this differs from the numerous analytics siblings. For a tool with 4 parameters and many peers, this is significantly 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 description coverage is 75% (env_id, from, to have descriptions; time_span has an enum but no text). The description does not add any parameter semantics, so it relies entirely on the schema. Since coverage is high, the baseline of 3 is appropriate.

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 uses a specific verb 'Get' and resource 'visit dispersion', which clearly indicates the subject. However, it does not explain what 'dispersion' represents or how it differs from other analytics metrics like visits or bandwidth, leaving some ambiguity for an agent choosing among many siblings.

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?

There is no guidance on when to use this tool versus the many other analytics tools (visits, bandwidth, top-countries, etc.). An agent cannot infer the appropriate context or alternatives from the description alone.

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, openWorldHint=true, and idempotentHint=true, covering the safety profile. The description adds the scoping context of 'this month' and 'billable,' which is helpful but not behavioral detail. No side effects, return format, or auth requirements are disclosed, though the annotations lessen the burden.

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, compact sentence with no wasted words. It front-loads the action and object, then immediately adds the specific time and billing qualifiers. This is an appropriately sized description for such a simple tool.

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?

Given the simple input schema (one param), the presence of safety annotations, and the lack of an output schema, the description provides everything an agent needs to invoke the tool correctly. It specifies the metric (billable visit usage), the time window (this month), and the target (a site). No critical operational detail 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 coverage is 100% and the sole parameter site_id is described as 'The site ID' in the schema. The description does not add any extra meaning beyond confirming the site scope經濟. The baseline of 3 applies because the schema already documents the parameter adequately.

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 clearly states a specific verb ('Get') and resource ('visit usage'), then narrows it with 'this month's billable' and 'for a site.' This unambiguously distinguishes it from the many other analytics tools in the sibling list, such as kinsta_analytics_visits or kinsta_analytics_visits-dispersion, without needing to open 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 description gives no explicit guidance about when to choose this tool over the numerous analytics siblings. It does not mention alternatives, exclusions, or prerequisites. The 'billable' and 'this month' qualifiers implicitly hint at its niche, but the agent is left to infer the selection criteria.

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 mark it read-only, idempotent, and open-world; the description adds the conditional return behavior (account info only if the key is valid). It does not state invalid-key error behavior, but for a read-only validation call this is a minor gap.

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 with no filler. The core action and result are front-loaded, making the description easy to scan and act on.

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 zero-parameter read-only validation call, the description provides the key operational details: what is being validated and what a successful result returns. Even without an output schema, this is sufficient for an agent to invoke it correctly, though invalid-key behavior is not explicitly described.

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?

The input schema is empty, so there are no parameters to document. With zero parameters, the description does not need to add parameter details beyond what is 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?

Description names a specific verb (validate), a specific resource (current Kinsta API key), and the expected outcome (account information when valid). No sibling tool shares exactly this purpose, so it is clearly distinguishable.

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 context is implied—call this when you need to confirm the API key is valid and receive account info—but there is no explicit when-to-use versus kinsta_ping or other connectivity checks. Adequate for a unique auth tool, but not fully explicit.

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?

The annotations only provide openWorldHint, so the description must carry the burden of behavioral disclosure. It reveals the side effect of creating a backup and that an operation_id is returned, but it does not state that the backup is likely asynchronous, how long it may take, whether it consumes storage quota, or what happens if a backup is already in progress. For a mutating tool with no readOnlyHint or destructiveHint annotations, this is a meaningful gap.

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 description is a single, efficient sentence with no filler. It front-loads the core action and resource, then notes the return value. Every word 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 a small two-parameter tool with full schema coverage, the description is nearly sufficient and even names the return field. However, with no output schema and no mention of how to poll or handle the returned operation_id, an agent must infer the next step from the sibling kinsta_operations_status tool. That missing async-completion context is a real but modest gap.

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 schema already documents both env_id and the optional tag. The description adds no further parameter-level meaning, such as tag format constraints or how env_id relates to the environment. Since the schema does the heavy lifting, the baseline of 3 is appropriate.

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 states an unambiguous action ('Create a manual backup'), the target resource ('an environment'), and a concrete return contract ('operation_id'). The qualifier 'manual' also helps distinguish it from siblings like kinsta_backups_restore, kinsta_backups_delete, kinsta_backups_list, and kinsta_backups_create-downloadable.

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 'manual backup' gives some implied context that this is a user-initiated action rather than a scheduled or downloadable backup. However, the description never explicitly says when to choose this tool over kinsta_backups_create-downloadable, kinsta_backups_restore, or kinsta_backups_list, nor does it mention any prerequisites such as the environment needing to exist.

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?

The description indicates a mutating action ('create'), consistent with the openWorldHint annotation, but it does not disclose any additional behavioral traits such as whether the operation is asynchronous, how long it takes, or what the response looks like. With only openWorldHint present, the description carries the burden of explaining side effects, which it fails to do.

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 description is a single, clear sentence with no filler. The verb and object are front-loaded, making it immediately actionable and efficient.

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 only one parameter and full schema coverage, the description is minimal but adequate for basic invocation. However, it lacks information about the operation's outcome (e.g., return value, whether a backup ID is generated) and does not clarify how it differs from the sibling 'create' tool, leaving some ambiguity for correct selection.

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% since env_id is fully described in the schema. The description adds no extra meaning to the parameter beyond what the schema already provides, so it meets the baseline for high coverage.

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 clearly states the action 'Create' and the resource 'a downloadable backup for an environment'. It is specific enough to distinguish from generic backup creation by adding 'downloadable', but it does not explicitly contrast with sibling tools like kinsta_backups_create or kinsta_backups_downloadable, so it earns a 4 rather than 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?

No guidance is provided on when to use this tool versus its siblings (e.g., kinsta_backups_create, kinsta_backups_downloadable). The description simply states what it does without any contextual cues or exclusions, leaving the agent to infer the appropriate scenario.

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?

The annotations already indicate destructiveHint=true and openWorldHint=true. The description adds a meaningful behavioral detail by stating 'This action cannot be undone,' which clarifies the permanence beyond the generic destructive annotation. This is useful context for an agent deciding whether to proceed.

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 description is very brief: two short sentences. The first sentence restates the title, but the second sentence carries important irreversibility information. There is no wasted content, though the redundancy with the title prevents a 5.

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 simple single-parameter delete operation, the description covers the key behavioral fact (irreversibility) and the schema covers the parameter. No output schema exists, so return values are not a gap. It could be improved by referencing how to obtain a backup_id, but the overall context is adequate.

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%, with backup_id described as 'The backup ID to delete.' The description adds no additional parameter semantics beyond what the schema already provides, 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 states a specific verb and resource: 'Delete a backup.' It clearly identifies the action and is distinct among backup siblings such as kinsta_backups_list, kinsta_backups_create, and kinsta_backups_restore. However, it does not explicitly differentiate itself from other delete tools or mention scope, 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention that it should be used only when a backup should be permanently removed, nor does it reference related operations like restore or list. The use case is implied by the name but not explicitly 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?

The description adds no behavioral context beyond the annotations, which already declare readOnlyHint, openWorldHint, and idempotentHint. It does not disclose anything about return format, pagination, or other side effects, so it provides no additional transparency beyond the structured metadata.

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 description is a single, efficient sentence with no redundant words. It front-loads the action and resource, making it highly concise and appropriately structured for a simple listing tool.

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?

While the tool is simple, the description is minimal and does not clarify what constitutes a 'downloadable backup' or what the response will look like, especially given there is no output schema. An agent may need more context to understand the exact scope or expected results.

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% for the single parameter env_id, so the schema already fully documents it. The description adds no extra meaning about the parameter, so the baseline score 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 states a specific action (list) and a specific resource type (downloadable backups) scoped to an environment. It distinguishes itself from siblings like kinsta_backups_list by the word 'downloadable', making its purpose clear, though it does not explicitly contrast it with the general backup list.

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?

No guidance is provided on when to use this tool versus alternatives such as kinsta_backups_list or kinsta_backups_create-downloadable. The usage context is only implied by the tool name and description, with no explicit when-to-use or when-not-to-use instructions.

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, openWorldHint, and idempotentHint, covering the safety profile. The description adds only the environment-scoping constraint and the fact that it lists 'all' backups, but it does not describe pagination, error behavior, or what constitutes a backup. With annotations present, the description meets the minimum but adds little beyond the obvious.

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 description is a single, concise sentence that states the action and scope. It is front-loaded with the core purpose and contains no filler. This is an example of appropriate minimalism for a straightforward read operation.

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 simple list tool with one parameter, no output schema, and full annotation coverage, the description conveys the essential behavior. It tells the agent what the tool does and the scope (environment). It does not detail the response format or any limits, but given the tool's simplicity and the annotations, this is sufficient for correct invocation.

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?

The schema already provides a 100% description of the single parameter env_id as 'The environment ID'. The tool description's phrase 'for an environment' echoes that same meaning without adding new details about format, validation, or how to obtain the ID. Since schema coverage is full, the baseline of 3 is appropriate; the description does not substantially enhance parameter understanding.

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 states a specific verb ('List') and resource ('backups') scoped to an environment. It clearly distinguishes from sibling backup tools that create, restore, delete, or download backups. No ambiguity about what action this performs.

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 provides no guidance on when to use this tool versus the related backup tools (e.g., kinsta_backups_downloadable). An agent must infer that this is the general list operation, but there is no explicit alternative or exclusion. For a simple read-only list this is a minor gap, but the lack of any usage context is noticeable.

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, openWorldHint, and idempotentHint, so the description need not repeat those. It adds a bit of context by specifying the return type (a time), but does not explain potential edge cases (e.g., if no downloadable backup is possible, or if the response format differs). No contradiction with annotations.

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 description is a single sentence that is front-loaded and concise. Every word adds value; there is no redundancy or 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 simple read-only query with one parameter, the description is sufficient. It clearly states what the tool returns (the next downloadable backup time) and the scope (environment). Given the annotations cover safety and idempotency, and there is no output schema, the description covers the essentials. It could be slightly more explicit about the return format, but that is minor.

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?

The schema has 100% coverage for the single parameter env_id, with a clear description. The tool description adds nothing beyond the schema, so the baseline of 3 applies. No additional semantic value is provided.

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 clearly states the tool's function: getting the next downloadable backup time for an environment. It uses a specific verb and resource, and the scope is clear. However, it does not explicitly differentiate itself from sibling backup tools (e.g., kinsta_backups_create-downloadable or kinsta_backups_list), though the name and phrasing make the distinction implicit.

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 implies that this tool is used to determine when a downloadable backup can be created, which gives some usage context. However, it does not provide explicit guidance on when to use this over alternatives, nor does it mention any exclusions or prerequisites. Given the many backup-related siblings, more explicit routing would be helpful.

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 mark the tool as destructive, but the description adds concrete behavioral context by stating it will overwrite the current environment and returns an operation_id. This goes beyond the structured annotations and helps set expectations about the impact and async nature.

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 description is two concise sentences with no filler. It front-loads the primary purpose, immediately states the critical consequence, and closes with the return value. Every sentence 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 a destructive restore action with no output schema, the description covers the essential context: what it does, that it overwrites, and what it returns. It could mention async behavior or confirmation steps, but the core information an agent needs is present.

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 each parameter already has a clear description in the schema. The tool description does not add additional semantic detail beyond what the schema provides, 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 clearly states the action ('Restore an environment from a backup'), the resource affected, and the side effect. It is distinguishable from sibling backup tools like kinsta_backups_list or kinsta_backups_create, and the verb+resource combination is specific.

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 implies the tool is for restoring an environment to a previous backup state, but does not explicitly state when to use it versus alternatives, nor does it provide exclusions or prerequisites. Usage is inferable but not directly guided.

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?

The description discloses that the tool returns an operation_id, which hints at asynchronous processing. The only annotation is openWorldHint: true, which signals external side effects, but the description does not elaborate on the destructive nature, reversibility, or any operational caveats. It adds a little value beyond the annotation but not much.

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 description is a single, tightly written sentence that gets straight to the point. It states the action, the target, and the return value with zero filler, making it ideal for quick comprehension.

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 simple tool with two well-documented parameters and no output schema, the description is adequate. It covers the core action and the return type. It could mention that the operation is asynchronous and might require polling the operation status, but that is not strictly necessary for a straightforward cache clear.

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%: both env_id and cdn_cache_id have descriptive comments in the schema. The description does not add any additional parameter semantics beyond what the schema already provides, so a baseline of 3 is appropriate.

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 clearly states the action: 'Clear the CDN cache for an environment.' It names the specific verb and resource and mentions the return value (operation_id). It does not explicitly differentiate from sibling tools like kinsta_tools_clear-cache or kinsta_edge-cache_clear, but the purpose is unambiguous on its own.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or which scenarios favor this over the similar cache-clearing tools. The description simply states what it does without any usage context.

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?

The only annotation is openWorldHint, so the description carries the burden of explaining behavior. 'Configure' implies a mutation, but the description does not disclose whether the operation is reversible, whether it requires CDN to be enabled, how existing settings are affected, or any side effects.

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 description is a single, compact sentence that front-loads the action, resource, and scope. There is no redundant wording or filler, making it appropriately concise for a simple tool.

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 only two parameters fully covered by the schema and no nested objects, the description is minimally viable for invoking the tool. However, as a configuration and potentially state-changing operation, it lacks context about effects, prerequisites, or expected response, especially given there is no output schema.

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 documents both parameters. The description adds no value beyond the schema's parameter descriptions, and it does not elaborate on environment ID format or interpretation of the image_optimization_type values.

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 states a clear verb ('Configure'), a specific resource ('CDN image optimization settings'), and a scope ('for an environment'). It is distinguishable from siblings like kinsta_cdn_clear-cache because it targets image optimization, though it does not explicitly differentiate or describe the allowed values.

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?

No guidance is given on when to use this tool versus alternatives, nor are prerequisites or exclusions mentioned. The phrase 'for an environment' provides some context, but it does not tell the agent when this operation is appropriate or what conditions must be met.

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, idempotentHint, and openWorldHint, covering safety and side-effect expectations. The description adds that filtering and pagination are supported, which is useful but minimal. It does not describe response format, auth, or rate limits, but annotation coverage lowers the burden.

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 description is a single sentence with no redundant words. It front-loads the action and scope, then adds the key capabilities (filtering and pagination) efficiently.

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 description is minimal but adequate for a read-only listing tool with a fully documented schema. It does not specify the return structure or pagination mechanics, and there is no output schema, so the agent must infer the response format. However, annotations cover safety and the schema covers parameters, making it not critically 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 description coverage is 100%, with every parameter (limit, offset, site_id, category, language, id_api_key, id_initiated_by) individually described. The description itself only mentions generic filtering/pagination, adding no parameter-specific meaning beyond the schema, so baseline 3 is appropriate.

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 states a specific verb ('List') and resource ('activity logs for your Kinsta company'), clearly indicating the tool's purpose. It mentions filtering and pagination, which adds scope. It does not explicitly distinguish from sibling tools like kinsta_logs_get, but the name and 'for your Kinsta company' make the target clear.

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 implies usage for company-level activity logs via 'for your Kinsta company' and mentions filtering/pagination, but it does not explicitly name alternatives or provide when-not-to-use conditions. No exclusions are given, leaving some inference to the agent.

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?

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, covering the safety and side-effect profile. The description adds no extra behavioral context beyond stating the operation is a list, which is consistent with the annotations. No contradiction exists, but the description doesn't disclose additional traits like pagination, rate limits, or response format.

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 description is a single, concise sentence that conveys the exact purpose with no wasted words. It is front-loaded with the key action and resource, making it efficient for an agent to parse.

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 trivial list tool with no parameters and no output schema, the description is sufficient to inform an agent what it does. It doesn't specify the return format, but given the tool's simplicity and the annotations covering safety, nothing critical is missing. It could be slightly richer by hinting at what fields are returned, but it's adequate.

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?

The tool has zero parameters, and schema coverage is 100% (vacuously). The description doesn't need to explain parameters, and it doesn't. The baseline of 3 applies because the schema already fully covers the (empty) parameter space.

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 clearly states the verb 'List' and the resource 'API keys' scoped to the company, which is specific enough to distinguish it from sibling list tools like kinsta_company_users or kinsta_company_regions. However, it doesn't explicitly name alternatives or contrast with other tools, so it doesn't earn the top score.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention any conditions, exclusions, or context that would help an agent decide between this and other list operations. For a simple list tool, the intent is implied but not explicit.

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, openWorldHint, and idempotentHint, so the description does not need to repeat those. It adds that the tool 'Supports search, filtering, and pagination,' which is useful but does not go beyond that. Since the safety profile is covered by annotations, this is adequate.

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, well-structured sentence that leads with the core purpose and then notes capabilities. No wasted words.

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?

Given a simple listing tool with no output schema and robust annotations, the description covers the essential scope and capabilities. It does not mention response format or limitations, but for this tool those are not critical for correct invocation.

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?

All six parameters have full schema descriptions (100% coverage), so the schema already documents their meaning. The description's mention of search/filter/pagination maps to parameters but does not add extra semantics like formats or constraints beyond the schema.

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 the verb 'List', the resource 'WordPress plugins', and the scope 'across all sites in your Kinsta company' clearly. This distinguishes it from site-specific tools like kinsta_plugins_list or kinsta_plugins_list-wp without needing to inspect them.

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 explicitly scopes the operation to all sites in the company, providing clear context that this is for company-wide listing rather than per-site. It does not explicitly name alternatives or exclusion criteria, but the scope is enough for an agent to decide when to use it.

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, openWorldHint, and idempotentHint, covering the main safety profile. The description adds company scoping and 'all available' breadth, but does not disclose return structure, pagination, or any other behavioral detail.

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 sentence that front-loads the verb and resource, with no filler or repeated information from the schema 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?

For a zero-parameter, read-only list operation, the description is nearly complete. It could mention what form the regions take (e.g., IDs/codes) or that this feeds into site/environment creation, but that's a minor gap given the simplicity and available annotations.

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?

There are zero parameters, so the baseline is 4. The description has nothing to clarify beyond the schema, which is already complete.

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 uses a specific verb ('list') and resource ('deployment regions') and scopes it to 'your Kinsta company.' It clearly distinguishes this from the many sibling tools by naming a unique resource.

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 context is clear: call this when you need the available deployment regions for the company. There are no plausible sibling alternatives for listing regions, so explicit when-not guidance is unnecessary.

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, idempotentHint, and openWorldHint, so the safety profile is well covered. The description adds useful scope information and general capabilities, but it does not disclose response shape, default limits, offset semantics, or how filters combine. These additions are modest relative to the annotation coverage.

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 description is two sentences, front-loads the core scope, and avoids repeating the tool title. The second sentence earns its place by summarizing available capabilities without going into unnecessary detail.

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 zero-required-parameter, read-only listing tool with fully described schema properties and safe annotations, the description is mostly complete. It could be more complete by noting the response format or default pagination behavior, but those gaps do not seriously block correct invocation.

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 per the baseline the description does not need to document every parameter. The description only restates that search, filtering, and pagination are supported without clarifying ambiguous fields like column, status, or order_by beyond the schema. It adds little semantic value over the structured definitions.

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 opens with a specific action and resource: 'List all WordPress themes across all sites in your Kinsta company.' This establishes scope and differentiates it from site-level theme tools like kinsta_themes_list and from plugin-focused sibling tools. The title reinforces the purpose without being the only source of meaning.

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 company-wide scope makes it clear this is the tool for aggregated theme listing across all sites, and the mention of search, filtering, and pagination indicates the standard query use case. It does not explicitly name alternatives or state when not to use it, so it stops short of full routing 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, openWorldHint, and idempotentHint, so the safety profile is covered. However, the description adds no additional behavioral context such as response format, pagination, or any limitations; it merely restates the title. It neither contradicts nor enriches the annotation information.

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 description is a single concise sentence that front-loads the action and resource. Every word earns its place, with no filler or redundancy. It is appropriately minimal for a tool with no parameters.

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?

Given the tool's low complexity, empty parameter list, and existing annotations, the description is minimally adequate. However, it does not hint at what the returned user list contains (e.g., IDs, emails, roles) and there is no output schema to fill that gap. For a list tool, a bit more context about the response would improve completeness, but it is not critical for a simple read-only operation.

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?

The tool has zero parameters, and the schema is an empty object with 100% coverage. There is nothing for the description to elaborate on, and the baseline for zero-parameter tools is 4. The description does not need to add parameter details, and it does not.

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 clearly states the verb 'List' and the resource 'users in your Kinsta company,' making the tool's purpose unambiguous. It does not explicitly differentiate from sibling company-related tools like kinsta_company_regions or kinsta_company_api-keys, but the resource is specific enough that an agent can infer it is for user listing.

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 provides no guidance on when to use this tool versus alternatives, no exclusions, and no context about scenarios where it applies. It is a bare statement that leaves all usage decisions to the agent without any comparative direction.

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, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds no behavioral context beyond the annotations, such as pagination, response format, or company scope details. With annotations carrying the burden, a 3 is appropriate.

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 description is a single, clear sentence with no wasted words. It front-loads the action ('List') and the resource ('DNS domains'), making it immediately scannable for an agent.

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 zero-parameter read-only list tool, the description is mostly complete. However, it does not mention what the response contains (e.g., domain names, IDs, statuses) or whether company context is required, and there is no output schema to fill that gap. The sibling tools suggest related DNS operations, but the description alone is adequate but not rich.

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?

The input schema has zero parameters, so there is no parameter semantics burden on the description. The description correctly implies no inputs are needed, and the schema coverage is 100% (vacuously). Baseline 4 for zero-parameter tools is appropriate.

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 states a specific verb ('List') and resource ('DNS domains for your Kinsta company'), which clearly identifies the operation. It does not explicitly differentiate from sibling tools like kinsta_dns_records or kinsta_domains_list, but the resource scope ('DNS domains') is distinct enough to avoid major confusion.

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 implies a simple read operation with no parameters, and the context signals show zero required parameters, so an agent can infer when to use it. However, it does not explicitly state when to use this tool versus alternatives like kinsta_dns_records or kinsta_domains_list, nor does it mention any exclusions or prerequisites.

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?

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the description is not required to restate safety traits. The description adds the scoping detail 'for a specific domain' and the completeness implication of 'all' records, but it does not describe response shape, pagination, potential errors, or authentication context beyond what annotations already cover.

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 description is a single, focused sentence that states the operation and the required scope. There is no redundant language, and the core purpose is front-loaded. Every word 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 a simple, one-parameter read-only operation backed by strong annotations, the description is mostly complete. The main gap is the lack of any explicit statement about return value shape, but since no output schema is provided, a short note about returning DNS records could make it fully self-contained. Still, an agent can call this tool correctly with the current description.

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 domain_id is already described in the schema as 'The domain ID to list DNS records for'. The description adds no additional semantic detail about where the domain_id comes from or how to obtain it, so it neither improves nor harms parameter understanding.

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 clearly identifies the verb ('List'), the resource ('DNS records'), and the scope ('for a specific domain'). It is unambiguous, but it does not explicitly differentiate itself from the sibling DNS record mutation tools or from kinsta_dns_domains, relying instead on the verb and wording to imply the distinction.

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 implies when the tool should be used: when a user wants DNS records belonging to a specific domain, and the schema requires a domain_id. However, it provides no explicit guidance about when not to use it or which sibling tools should be used instead, such as creating, updating, or deleting records.

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?

The annotations only include openWorldHint, so the description carries the burden of behavioral disclosure. It merely says 'create' and does not explain mutation effects, duplicate handling, DNS propagation, asynchronicity, or permissions required.

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 description is a single sentence with no filler or repetition. It is front-loaded with the core action, though it is too sparse to earn a higher score for structural richness.

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 and only openWorldHint, the description does not tell the agent what the response will look like or whether the operation is asynchronous. Key context such as requiring an existing domain and checking operation status is absent.

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 each parameter (domain_id, type, name, ttl, resource_records) already has a meaningful description. The tool description adds nothing 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 states a specific verb ('create'), a specific resource ('DNS record'), and a clear scope ('for a domain'). This clearly differentiates the tool from the sibling update, delete, and list operations.

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?

There is no guidance about when to use this tool versus kinsta_dns_records_update or kinsta_dns_records_delete. It does not mention prerequisites, such as the domain already existing or when a create operation would be appropriate.

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 destructiveHint=true, so the description doesn't need to repeat that. It adds minimal context beyond the action itself, but doesn't disclose any side effects or irreversibility. With annotations covering the safety profile, a baseline 3 is appropriate.

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 sentence with no filler, front-loads the action and object. Extremely concise.

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 simple delete operation with full parameter documentation and destructive annotation, the description is minimally sufficient. However, it doesn't mention return values or any prerequisites beyond parameters, so a 3 is appropriate.

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% with descriptions for each parameter, so the schema does the heavy lifting. The description adds no parameter-specific meaning beyond what's in the schema.

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 clearly states the action (Delete) and the resource (DNS record) with a scope (from a domain). It is specific enough to distinguish from create/update siblings, though it doesn't explicitly name alternatives.

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?

No guidance on when to use this tool vs alternatives like kinsta_dns_records_create or update. The description provides no context for selection.

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?

The only annotation is openWorldHint, which does not cover safety or side effects, so the description carries the burden. It merely says 'update' without disclosing how existing resource records are modified, whether changes are additive/replacement, or any permission/precondition requirements. This is insufficient for a mutation tool.

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 definition is a single terse sentence with no filler and the action verb is front-loaded. It is concise, but so minimal that it sacrifices useful context, so it earns 4 rather than 5.

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 six parameters, a mutation operation, no output schema, and only a sparse annotation, the description should explain how the update is applied, such as whether new_resource_records replaces values and removed_resource_records deletes them. It currently leaves the agent to infer the tool's behavior from parameter names and siblings. This is a meaningful completeness gap.

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 documents all six parameters. The description adds no parameter-specific meaning, especially the relationship between new_resource_records and removed_resource_records, so it earns the baseline 3.

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 action (update) and resource (existing DNS record within a domain), which clearly distinguishes it from the sibling create/delete tools at a basic level. It doesn't spell out the update semantics or alternatives, but the purpose is unambiguous.

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 word 'existing' communicates that this tool is for modifying already-created DNS records, not for adding or removing records. It does not explicitly name create/delete alternatives or state conditions like needing the domain ID and record identifiers, but the usage context is fairly clear.

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?

The annotations only provide openWorldHint, so the description carries the burden of disclosing side effects. It says 'Add' but does not explain whether this triggers verification, downtime-avoidance behavior, SSL provisioning, or how existing domains on the environment are affected.

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 description is one short sentence with no filler and is front-loaded with the action and target. However, given the tool's seven parameters and optional configuration flags, the description is somewhat under-sized for the operation's complexity.

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 seven parameters, no output schema, and minimal annotations, the description leaves out critical context such as setup_type behavior, custom SSL key/cert usage, wildcard handling, and post-call results. An agent would not know what to expect after invoking this tool or how to configure a domain addition correctly.

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 29%, and the description adds no meaning beyond the already-documented env_id and domain_name. The optional setup_type, SSL fields, is_wildcardless, and add_with_www_subdomain remain unexplained in both the schema and the description, so the low coverage is not compensated.

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 states a specific verb ('Add') and resource ('custom domain to an environment'), clearly identifying the operation. It differentiates from sibling domain tools like list, delete, verification, and set-primary, so an agent can recognize this is the creation/association action.

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?

No guidance is provided on when to use this tool versus alternatives such as DNS record creation or domain verification. It does not mention prerequisites, ordering, or conditions like domain ownership or verification requirements before adding a domain.

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?

The annotations already declare destructiveHint=true, which covers the destructive nature. The description adds no further behavioral context (e.g., reversibility, impact on SSL, or required permissions). It does not contradict annotations, but also does not go beyond them, so a 3 is appropriate given the annotation coverage.

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 description is a single, short sentence that directly states the tool's purpose with no filler. It is front-loaded and efficient, though it is arguably too terse for the level of detail that might help an agent.

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 simple delete operation with two well-documented parameters and an annotation flagging destructiveness, the description is minimally adequate. However, it lacks context on how to obtain domain IDs or any post-deletion effects, which would improve completeness.

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 env_id and domain_ids are fully documented in the schema. The description does not add any additional meaning or clarify parameter usage beyond the schema, so it stays at the baseline 3.

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 clearly states the action ('Remove custom domains') and the scope ('from an environment'), which is specific and distinguishes it from sibling domain tools like list, add, verification, and set-primary. The verb-resource pairing is unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing to list domains first to obtain domain IDs) or exclusions. The agent must infer usage from the name and schema alone.

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, openWorldHint, and idempotentHint, covering the safety profile. The description adds the 'all' scope and environment association but provides no extra behavioral details such as pagination, ordering, or response shape; this is adequate but not rich.

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 description is a single clear sentence with no filler. Every word contributes to identifying the operation, the resource, and the scope.

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 is simple: one fully documented required parameter stages and read-only/idempotent annotations make selection and invocation straightforward. The lack of an output schema and return-format description is a minor gap for a basic list operation.

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% for the only parameter, env_id. The description's phrase 'for an environment' echoes the schema rather than adding new semantic detail, so with full schema coverage the baseline score 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 states a specific verb, 'List', and names the exact resource, 'custom domains', with a clear scope: 'for an environment.' This distinguishes it from domain mutation tools like kinsta_domains_add and kinsta_domains_delete, and from DNS-domain tools like kinsta_dns_domains.

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 context is clear: this is a read-only listing operation for a single environment. However, it does not explicitly state when to use it over related alternatives such as kinsta_dns_domains or kinsta_domains_verification, so some inference is required.

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?

With only an openWorldHint annotation (which is vague), the description carries the full burden of behavioral disclosure. It merely states the action without revealing side effects, reversibility, permissions required, or the implication that run_search_and_replace may modify content. The description gives no warning that changing the primary domain can affect WordPress URLs or site accessibility.

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, concise sentence with the action verb and target front-loaded. No filler or redundant phrasing; every word contributes to understanding the tool's purpose.

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 description is minimal for a mutation tool with three parameters and no output schema. It omits important context such as whether the domain must be verified, whether the change is reversible, and the exact effect of run_search_and_replace. The openWorldHint annotation suggests additional unstated side effects, but the description does not attempt to address them.

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 each parameter has a clear description in the schema. The tool description itself adds no extra meaning beyond what the schema already provides. Since the schema fully documents the parameters, a baseline score of 3 is appropriate.

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 states a specific verb ('Set'), a specific resource ('primary domain'), and the scope ('for an environment'). It clearly distinguishes from sibling tools like add, delete, list, and verification, leaving no ambiguity about what this tool does.

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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., the domain must exist or be verified), nor does it explain when to pair it with run_search_and_replace. Agents are left to infer suitability from the name alone.

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, openWorldHint, and idempotentHint, so the safety profile is fully covered. The description adds only that the records are DNS verification records for a domain, but it does not disclose response format, pagination, or any domain-specific behavioral details beyond that.

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 description is a single, efficient sentence that communicates the action, resource, and scope with no filler. It is appropriately front-loaded and easy for an agent to parse quickly.

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 simple one-parameter read-only tool with annotations covering safety, the description is mostly complete: it names the action, resource, and scope. The only minor gap is that with no output schema, it does not describe what the returned verification records look like, though 'Get DNS verification records' reasonably implies the return content.

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 meaning of site_domain_id is already documented in the schema. The tool description adds no extra meaning about where the ID comes from, its format, or any constraints, so it does not go beyond the schema baseline.

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 uses a specific verb ('Get') and clearly identifies the resource ('DNS verification records for a domain'). It is distinct from sibling domain tools like kinsta_domains_list, kinsta_domains_add, and kinsta_domains_delete, which handle domain listing and management rather than verification.

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 implies the tool is for retrieving DNS verification records, which is a reasonable usage cue. However, it does not explicitly state when to prefer this over kinsta_domains_list or other domain-related tools, nor does it mention any prerequisites such as needing an existing domain ID.

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?

With only openWorldHint in annotations, the description carries the burden of disclosing behavior. It adds value by stating that an operation_id is returned, implying an asynchronous operation. However, it does not explain side effects, scope of invalidation, or how long the operation might take.

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 description is concise and front-loaded: two short sentences, no filler, and the action is clear. It could be slightly longer to cover the optional parameters, but structurally it is efficient.

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 mutating tool with three parameters, no output schema, and sparse annotations, the description is incomplete. It omits the semantics of two optional parameters and gives no usage guidance relative to sibling clear-cache tools. The operation_id hint is useful but not sufficient.

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%: env_id is documented, but url and clear_subdirectories are not. The description only echoes the environment scope and does not explain what url or clear_subdirectories mean or how they affect the cache-clear operation.

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 clearly states the verb ('Clear'), the resource ('edge cache'), and the scope ('for an environment'), and even names the returned result (operation_id). It is specific enough to distinguish from CDN or generic cache tools, though it does not explicitly position itself against sibling clear-cache tools.

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?

No guidance is given about when to use this tool versus kinsta_tools_clear-cache, kinsta_cdn_clear-cache, or kinsta_edge-cache_toggle. The agent is left to infer the correct choice from the tool name alone.

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 only include openWorldHint: true, which signals potential side effects beyond the immediate toggle. The description does not disclose any behavioral consequences such as propagation delays, impact on existing cached content, or whether the change is immediate or reversible. With minimal annotation coverage, the description carries the full burden of behavioral disclosure and fails to provide it.

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 description is a single, concise sentence that front-loads the core action. There is zero wasted wording, and it is immediately scannable. It achieves maximum efficiency for a simple toggle tool.

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 tool with openWorldHint and no output schema, the description should explain side effects, return values, or any asynchronous behavior. None are mentioned. The tool is simple in terms of parameters, but the missing behavioral context and lack of return description make it incomplete for an agent to know what to expect after invocation.

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 env_id and enabled are already documented with clear meanings. The description adds no extra semantic value beyond restating the action; it does not elaborate on the format of env_id or any implications of the boolean. Baseline 3 is appropriate because the schema fully covers the parameters, and the description offers no additional insight.

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 'Enable or disable edge caching for an environment' uses a specific verb (toggle) and clearly identifies the resource (edge caching) and scope (environment). It is unambiguous and distinguishable from sibling tools like kinsta_edge-cache_clear or kinsta_tools_clear-cache, which perform different actions. However, it does not explicitly contrast with these siblings, so it does not achieve a perfect 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?

The description provides no guidance on when to use this tool versus alternatives such as kinsta_edge-cache_clear or kinsta_tools_clear-cache. There is no mention of prerequisites, typical use cases, or exclusions. The only context is that it applies to an environment, which is already implied by the required env_id parameter. This leaves the agent to infer usage from the name and siblings.

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?

The description adds the useful behavioral detail that the tool returns an operation_id, implying an asynchronous clone operation. However, it does not disclose whether the clone is immediate, how to track progress, or any permission requirements. The openWorldHint annotation adds little concrete behavioral 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?

The description is two short sentences with no filler. The action and the key return detail (operation_id) are both stated directly and efficiently.

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 four-parameter clone operation, the description is minimal but adequate: it states the purpose and the return value. It does not explain that the returned operation_id should likely be polled via kinsta_operations_status, nor does it clarify the relationship to the source environment beyond what the schema already provides.

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 all four parameters are already documented in the input schema. The description does not add any additional meaning about parameters such as source_env_id or is_premium, so baseline scoring 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 clearly names the action ('Clone'), the resource ('an existing environment'), and the result ('create a new one'). It does not explicitly distinguish itself from sibling clone/create tools such as kinsta_environments_create or kinsta_sites_clone, but the environment-specific wording reduces ambiguity.

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?

No guidance is provided about when to use this tool versus creating an environment from scratch or cloning an entire site. The use case is only implied by the tool name and the phrase 'Clone an existing environment.'

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 only provide openWorldHint, so the description carries most of the behavioral disclosure burden. It does disclose that the call returns an operation_id, which hints at asynchronous behavior, but it does not explain that the operation may be long-running, how to track it, or any side effects beyond creating the environment.

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 description is two short sentences with no filler. The action is stated first, and the operation_id return contract is a useful, non-redundant addition that 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?

Given the complexity of a 13-parameter, 8-required-parameter environment creation tool and no output schema, this description is too thin. It does not connect the returned operation_id to kinsta_operations_status, mention async behavior, or provide any fallback/failure context an agent needs when invoking a heavyweight creation operation.

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 documents all 13 parameters and their meanings. The description adds almost no parameter-level value beyond reinforcing that the environment belongs to a site, which maps to site_id but is already stated in the schema.

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 states a specific action and resource: 'Create a new WordPress environment for a site' and adds the key return value, an operation_id. It is clear enough to distinguish from site-level tools like kinsta_sites_create, but it does not explicitly differentiate itself from the similarly named kinsta_environments_create-plain sibling.

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 gives no guidance about when to choose this tool over alternatives such as kinsta_environments_create-plain or kinsta_environments_clone. The use case is only implied by the phrase 'for a site,' with no when/when-not reasoning or exclusions.

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?

The description discloses the create side effect and the operation_id return value, which is useful because no output schema is provided. Annotations only include openWorldHint, so the description carries the safety/behavior burden; it could add that creation is asynchronous and may need polling via kinsta_operations_status.

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 with no filler; the key purpose is front-loaded and the operation_id return detail is valuable and placed at the end.

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 simple 3-parameter creation tool, the description states what it does and what it returns, while the schema covers all parameters. It is slightly incomplete because it omits async polling guidance and any conditions or restrictions, but these are not critical for basic invocation.

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 site_id, display_name, and is_premium. The description adds no parameter-level meaning (e.g., what 'premium' implies for a plain environment), so 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?

The description uses a specific verb ('Create') and resource ('plain (empty) environment for a site'), and it names the return value. The 'plain (empty)' qualifier distinguishes it from clone-type environment tools, though it does not explicitly contrast it with the sibling kinsta_environments_create.

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?

No guidance is given on when to use this tool over kinsta_environments_clone or kinsta_environments_create. It provides no context about prerequisites, limitations, or situations where this tool should be preferred.

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 destructiveHint=true and openWorldHint=true. The description adds explicit irreversibility ('cannot be undone'), which is a meaningful behavioral disclosure beyond the generic annotation. This helps the agent treat the action with extra caution, though it does not describe side effects on dependent resources.

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 description is two short sentences with zero filler. The action and the critical warning are front-loaded, making it highly scannable for an agent. Every word 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?

Given the simplicity of a one-parameter delete operation with no output schema, and annotations covering the destructive nature, the description is largely sufficient. It could mention what is permanently removed (e.g., files, database) or any prerequisites, but these are not critical for an agent to execute the call. The irreversibility warning is the key extra 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 description coverage is 100%, and the parameter env_id is already described as 'The environment ID to delete'. The description adds no further parameter meaning, so it matches the baseline for high coverage. It neither enhances nor detracts from the schema.

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 clearly states the action (delete) and the resource (environment) with a specific scope. It distinguishes from sibling delete tools like kinsta_sites_delete and kinsta_backups_delete by naming the resource type directly, so an agent can identify it without ambiguity.

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 provides no guidance on when to use this tool versus alternatives. It does not mention when deletion of an environment is appropriate, nor does it contrast with similar delete operations (e.g., site, backup, domain). The agent must infer usage solely from the resource name, which is a gap for a destructive action.

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, idempotentHint, and openWorldHint, covering safety. The description adds no behavioral detail beyond the trivial act of listing – it doesn't state whether files are listed recursively, whether directories are included, or what response format is returned (especially problematic since there's no output schema).

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 sentence with no wasted words; it's appropriately terse for a simple operation. However, the extreme brevity means it lacks essential context, so it's not a perfect score.

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?

Given there's no output schema, the description should explain what the returned file list looks like (paths, metadata, depth). It only says 'list files,' leaving the agent to guess about scope and format. For a tool with a single parameter, this is still a significant gap.

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% for env_id, which is documented as 'The environment ID.' The description adds nothing beyond this, so it earns the baseline score of 3 – schema does the heavy lifting.

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 the verb 'list' and resource 'files in an environment's file system,' making the core action clear. However, it doesn't differentiate from related tools like kinsta_environments_webroot or kinsta_logs_get, which could also involve file listings.

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?

No guidance on when to use this tool versus alternatives. The description gives no context about typical scenarios, exclusions, or prerequisites (e.g., whether env_id must be active or what file paths are expected).

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?

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, covering safety and repeatability. The description adds the scoping behavior that this returns all environments for one site, but it does not disclose higher-level behavior such as pagination, result shape, or whether environments are returned in any order.

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, front-loaded sentence with no filler. Every word earns its place, and the core action and scope are immediately clear.

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 simple one-parameter list operation with safety annotations provided, the description is mostly complete. It lacks an explicit statement of the return format, but the low complexity and clear schema make this a minor gap.

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 for the only parameter, site_id, is 100%, so the schema already documents the parameter. The description adds little beyond restating the site relationship, making the baseline score appropriate.

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 uses a specific verb and resource, 'List all environments for a Kinsta site,' and clearly differentiates this read operation from the many environment mutation tools among the siblings. The scope is immediately obvious to an agent.

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 implies the tool is used when an agent needs all environments belonging to a given site, but it does not explicitly mention alternatives or exclusion cases. Since the function is self-evident, the usage context is adequate but not detailed.

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?

The description adds one useful behavioral detail beyond the minimal openWorldHint annotation: it returns an operation_id, implying an asynchronous operation. However, it does not disclose side effects, whether changes take effect immediately, or how to track the operation's status.

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, clear sentences with the core operation front-loaded and the return value stated separately. There is no filler or redundant 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 simple three-parameter mutation, the description covers the action and return value adequately. However, it does not point to the related operations_status tool for checking the returned operation_id, and it leaves potential confusion with the site-level allocation sibling unresolved.

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?

All three parameters are already documented in the input schema with 100% coverage. The description adds no additional constraints, defaults, or relationships between thread_count and thread_memory, so it provides no value beyond the schema.

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 clearly identifies the operation as changing PHP worker allocation for a specific environment, with the required resource and scope. However, it does not explicitly differentiate this tool from the closely named sibling kinsta_environments_php-allocation-site, so an agent may still face scope ambiguity.

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?

There is no explicit guidance on when to use this tool versus its site-level sibling, nor any mention of prerequisites or follow-up steps. The phrase 'for a specific environment' gives some context, but it does not help an agent decide between alternatives or understand the operational flow.

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?

With only openWorldHint: true in annotations, the description carries most behavioral disclosure. It adds that the operation applies to all environments and returns an operation_id, implying asynchrony, but it does not mention possible side effects like PHP restarts, downtime, or how to track the operation beyond the returned ID.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.