cloudoracle

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

With no annotations, the description carries the full burden but only mentions the output at a high level. It does not disclose default lookback days, provider filtering behavior, or the structure of the timeline, leaving significant behavioral gaps.

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 highly concise and readable, earning top marks for efficiency even though it is under-specified.

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 only two optional parameters and no output schema, the description should explain the return format. It mentions a timeline but does not specify its contents, how providers/days affect results, or how the tool fits into the broader incident management context. Adequate but with clear gaps.

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 provides descriptions for both parameters (days and provider), so schema coverage is 100%. The tool description adds no additional meaning beyond the schema, which is acceptable per the baseline of 3 for high schema 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 tool lists active and recent cloud incidents with a timeline. It distinguishes from sibling status tools by focusing on incidents rather than status or health, but does not fully elaborate on how it differs from outage_impact or cloud_status.

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 explicit guidance is given on when to use this tool versus alternatives. The description implies it is for incidents but does not provide context for when to choose it over cloud_status, outage_impact, or other siblings, nor any 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?

With no annotations provided, the description carries the behavioral transparency burden. It discloses what the tool reports (active incidents, recent events, EU regions) but does not explicitly state that it is a read-only operation or describe any other behavioral traits such as caching or data freshness. This is adequate for a simple status tool but not exhaustive.

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

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the core purpose and immediately provides useful detail about what is covered. Every word earns its place, with 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 status tool with one optional parameter and no output schema, the description is reasonably complete. It tells the user what categories of information will be returned (incidents, events, regions) and which providers are covered. It could benefit from explaining the output format or the meaning of 'live', but it covers the essentials.

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 fully describes the 'provider' parameter with allowed values and default, achieving 100% schema description coverage. The tool description adds no additional meaning or usage details for 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 clearly conveys that the tool provides live cloud status across AWS, GCP, and Azure, including incidents, events, and regional data. It distinguishes itself from sibling tools by specifying the multi-provider status scope, though it lacks an explicit verb like 'retrieve' or 'check'.

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 'Live status' implies this is the tool to use for real-time cloud health information, and the inclusion of providers/regions gives context. However, there is no explicit guidance about when to prefer this over sibling tools like cloud_incidents or region_status, nor 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?

With no annotations, the description carries the full burden for behavioral transparency, but it only says 'SPOF analysis' without disclosing whether the operation is read-only, what data it accesses, what the response contains, or any side effects. The description adds no safety or behavioral context beyond the tool's name.

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 and front-loaded, using only 10 words, which is concise. However, it is under-specified; while it avoids redundancy, it cuts essential details, so it does not effectively serve the purpose of 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?

Despite being a simple tool with one parameter and no output schema, the description fails to provide necessary context: what entity_id refers to, how the analysis is performed, or what result format to expect. There is no placeholder for missing annotation or output schema information, making the description inadequate 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 input schema defines entity_id with no description, and schema description coverage is 0%. The description does not mention entity_id at all, leaving parameter meaning completely undocumented. Since the schema provides no semantics and the description does not compensate, the agent cannot infer what values are 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 noun phrase 'Concentration risk' and a question, indicating it analyzes provider concentration and SPOF, but it lacks an explicit verb and does not clearly distinguish from sibling tools like outage_impact or provider_dashboard. It conveys the general function but is vague without stating exactly what action it 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?

No guidance is provided on when to use this tool versus alternatives. It neither suggests use cases, prerequisites, nor excludes scenarios, leaving the agent uncertain about selecting it over sibling tools like health_check or cloud_status.

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?

No annotations are provided, so the description carries the full burden. It only poses a question and does not disclose return type, side effects, or any behavioral nuances. For a likely boolean query, the description gives no indication of output format or performance characteristics.

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 waste, but it is under-specified. While concise, it lacks essential details about the tool's behavior, making it borderline between efficient and vague. It does not earn a higher score because it sacrifices necessary context for 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?

With one parameter, no annotations, and no output schema, the description should provide more context about the regulatory context, what 'Art. 31' refers to, and what a positive or negative result means. The current description is a fragment that leaves too many details for the agent to infer, making it incomplete for reliable use.

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 one string parameter 'provider' with 0% description coverage. The tool description simply repeats the word 'provider' without specifying format, expected values, or meaning. This does not compensate for the lack of schema documentation, leaving parameter usage ambiguous.

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: determining whether a provider is a Critical Third-Party Provider under Art. 31. The resource and specific regulatory context are identifiable, and it is distinct from sibling tools like concentration_risk or health_check, though it does not 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?

There is no guidance on when to use this tool versus sibling tools like concentration_risk or obligation_map. No context, prerequisites, or exclusions are provided. The user must infer from the name and description, which is insufficient for clear tool 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?

No annotations are provided, so the description must disclose behavioral traits. 'Server status.' says nothing about what the check entails, whether it is read-only, or what happens on failure. This is completely insufficient.

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?

While the text is extremely short, this is under-specification rather than conciseness. The phrase 'Server status.' is too vague to be useful, so it does not earn its place as a meaningful 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?

With no output schema, no annotations, and a sparse description, the tool lacks any context. Sibling tools like 'cloud_status' and 'region_status' suggest a need for clearer scoping, but this description leaves the agent completely uninformed.

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, so the schema fully covers all parameter semantics. The description adds nothing, but baseline for 0 params is 4, which 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 'Server status.' merely restates the tool name 'health_check' in a slightly different form. It lacks a specific verb or resource, and does not distinguish from sibling tools like ping, cloud_status, or region_status.

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 vs alternatives. With 12 sibling tools covering various status checks, the description gives 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Check,' implying a read-only operation, but it does not describe what happens during the check, whether it has side effects, what it returns, or any access/rate-limiting constraints. The lack of such details is a significant 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, concise sentence that is front-loaded and contains no filler. Every word adds meaning, and it is appropriately sized 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?

Given that there is no output schema and no annotations, the description fails to provide a complete picture. It does not explain what the tool returns, how the check is performed, or what 'compliance' entails. The single sentence leaves many essential details missing for effective use.

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 one parameter (entity_id) with no description, and schema description coverage is 0%. The description uses the phrase 'per provider,' which vaguely hints that entity_id may be a provider identifier, but it does not explicitly define the parameter's purpose, format, or optionality. This is insufficient compensation for the schema's lack of details.

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 what the tool does: 'Check Art. 30 contract clause compliance per provider.' It uses a specific verb ('Check') and a specific resource ('Art. 30 contract clause compliance') and adds the scope 'per provider.' This distinguishes it from generic tools, though it does not explicitly contrast with sibling tools like ctpp_check or obligation_map, so it is not a full 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 versus alternatives. The description only states what it does, not the context or prerequisites. It does not mention when to prefer this over other tools like ctpp_check or sla_check, and there are no exclusions or caveats.

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 no annotations provided, the description carries the full burden of disclosing behavioral traits, but it reveals nothing about side effects, required permissions, or return behavior. It is entirely uninformative about what the tool does.

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 short, but this is under-specification rather than conciseness. A single vague phrase does not earn its place because it fails to communicate the tool's purpose, making it not useful.

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 absence of annotations, an empty schema, and no output schema, the description is the only source of information. It is completely inadequate for an agent to understand the tool's behavior or when to call it, especially among many sibling monitoring tools.

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, so per the rubric the baseline is 4. The description does not need to explain parameter semantics, and it does not contradict the empty schema. However, the description's vagueness slightly detracts from this score.

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 'Cloud monitoring obligations with cross-jurisdiction equivalents' is a noun phrase that does not specify a clear action or resource. It is vague about whether this tool lists, maps, or checks obligations, and it does not distinguish itself from sibling tools like cloud_incidents or cloud_status.

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 or when to prefer alternatives. It offers no context, prerequisites, or exclusions, leaving the agent without any direction for tool 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?

With no annotations, the description must carry the burden of disclosing side effects and safety. 'Simulate' hints that the operation is non-destructive, but it doesn't confirm read-only behavior, auth requirements, or what DORA actions entail. This is a minimal viable disclosure.

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

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence beginning with 'Simulate'. It is concise, with no wasted words, while still conveying purpose and output.

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 covers the main purpose and output categories but omits key context: what entity_id does, what DORA actions are, and whether the operation has side effects. With no output schema or annotations, these gaps reduce 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?

The schema describes 'provider' and the description echoes this, but 'entity_id' is left undocumented in both schema and description. With 50% schema coverage, the description adds little beyond the schema for the provider parameter and nothing for entity_id.

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 simulates a provider outage and lists the outputs (affected services + DORA actions). It distinguishes itself from sibling tools like cloud_status and health_check by focusing on hypothetical simulation rather than current status.

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 verb 'Simulate' makes the primary use case clear, implying this is for hypothetical scenarios rather than real-time checks. However, it does not explicitly contrast with alternatives or state when not to use the tool.

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?

No annotations are provided, so the description carries the full burden. 'Connectivity test' provides almost no behavioral insight—it doesn't say whether the tool makes network calls, what it returns, or whether it has side effects. This is a serious gap for a tool with no 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 only two words, which is concise in length but severely under-specified. It does not provide useful structure or details, making it more of an under-specification than effective 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 simple tool with no parameters and no output schema, one might expect minimal description, but 'Connectivity test' still leaves critical gaps such as what is being tested, how to interpret the result, and any side effects. Given the sibling tools (health_check, region_status), more context is needed to distinguish and use this tool effectively.

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 0 parameters and an empty schema, so there is nothing to describe. The baseline for 0-param tools is 4, and the description doesn't need to compensate for any undocumented parameters.

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 'Connectivity test' clearly indicates the tool checks connectivity of some kind, but it lacks a specific verb+resource structure and does not differentiate from siblings like health_check or region_status. It is not a tautology, but it is vague.

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. No prerequisites, context, or exclusions are mentioned, making the usage context entirely implicit.

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?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It mentions 'live cloud status' and 'risk assessment' but gives no details about response structure, data sources, latency, or whether the operation is read-only. This lack of transparency could lead an agent to misuse the tool without understanding its 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, concise sentence that is front-loaded with the main purpose. However, it is under-specified: it does not include any parameter context, usage guidance, or output expectations. It is concise but not appropriately sized for a tool that needs operational clarity.

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 simplicity (one parameter, no output schema), the description should at least explain what 'providers' means, what 'entity' refers to, and what 'risk assessment' includes. It provides none of these details, making it insufficient for an agent to invoke the tool correctly in a real 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?

The input schema has a single parameter, entity_id, with no description, and the description does not mention it at all. With 0% schema description coverage, the agent has no information about what entity_id represents, its format, or how to obtain it. The description completely fails to compensate for this gap.

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 indicates the tool returns all providers for an entity, enriched with live cloud status and risk assessment. It specifies the resource (providers) and the scope (per entity), but lacks an explicit verb like 'list' or 'get' and does not differentiate itself from sibling tools like cloud_status or concentration_risk.

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. The description does not mention use cases, prerequisites, or situations where other sibling tools would be more appropriate. It is purely a statement of functionality.

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 no annotations provided, the description carries the full burden of behavioral disclosure. It only states that the tool provides region status, which implies a read-only operation, but it does not mention return formats, caching, permissions, or any other behavioral traits.

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, using a single sentence to convey the core purpose. However, it is a sentence fragment, which slightly detracts from structural completeness.

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 lack of output schema and annotations, the description needs to provide more detail about what the status represents and how the provider parameter works. It offers purpose and context but leaves significant gaps, making it insufficient for confident tool 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 describes the 'region' parameter but leaves 'provider' undocumented. The description adds no information about either parameter, failing to compensate for the 50% schema coverage gap. The provider parameter's purpose and acceptable values remain unclear.

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 tool as providing cloud region status, specifically for EU regions and DORA data residency. This distinguishes it from sibling status tools like cloud_status and saas_status, though it lacks an explicit verb like 'get' or 'query'.

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 of EU regions and DORA data residency implies when to use this tool, but there is no explicit guidance on when not to use it or which sibling alternatives might be better suited. The usage is clear but not fully articulated.

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 no annotations provided, the description carries the full burden of disclosing behavioral traits. It only lists provider names without explaining whether the tool performs a read-only check, what 'status' means (e.g., incident, uptime), whether it calls external APIs, or what the response format looks like.

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 and free of fluff, which is concise. However, it is under-specified even for a simple tool, reading more like a label than a functional description. It could include a brief verb phrase without adding significant length.

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 is no output schema, the description should explain what the tool returns or how to interpret the status. It only names providers, leaving the user to infer the result format. For a status-checking tool, this is a notable 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?

The schema already describes the single parameter 'provider' with its allowed values (cloudflare|github|datadog|all), giving 100% coverage. The description lists the same providers but adds no additional meaning, such as default behavior or format expectations, so it scores at the baseline for high schema 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 identifies the tool as providing status for specific SaaS providers (Cloudflare, GitHub, Datadog), which distinguishes it from sibling tools like cloud_status or region_status. However, it lacks a verb such as 'get' or 'check', making it slightly less explicit than ideal.

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 situations where saas_status is preferred over cloud_status, health_check, or other siblings, nor does it specify any 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?

With no annotations, the description carries the full burden but only restates purpose. It does not disclose whether the operation is read-only, what data it checks, what the response looks like, or any side effects. The Art. 30 reference adds domain context but not behavioral transparency.

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 redundant wording. It earns its place by conveying purpose and domain context 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?

Given no annotations, no output schema, and partially documented params, the description is too thin. It does not explain return formats, optionality of filters, or how Art. 30 verification is performed. An agent would likely need to inspect schemas or make assumptions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%: 'provider' has a description while 'entity_id' does not. The description reinforces the provider filter ('per provider') but adds no meaning for entity_id. Since coverage is mid-range, the description provides some value but does not fully compensate for the undocumented 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 clearly states the tool checks SLA compliance per provider and references Art. 30 contract clause verification, making the resource and scope explicit. It is distinct from sibling tools like health_check or cloud_status, though it does not 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?

The description provides context ('per provider') but no guidance on when to use it versus siblings like health_check or cloud_incidents. There are no explicit exclusions or alternative tool mentions.

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 no annotations, the description carries the full burden of behavioral disclosure. It indicates a write/export operation ('Push') but fails to mention side effects, authentication needs, idempotency, or whether data is overwritten. This is a significant gap for a mutation-like 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 description is extremely brief and front-loaded, with no wasted words. However, it is under-specified to the point of being cryptic, lacking crucial information about parameters and context, so it is not appropriately sized for the agent's needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a single parameter and no output schema, so the description is the only source of contextual information. It fails to explain what 'cloud risk' refers to, the role of 'entity_id', or the expected outcome, leaving substantial gaps in the agent's understanding.

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 only parameter 'entity_id' is completely undocumented. Schema description coverage is 0%, and the description does not mention the parameter at all, leaving the agent without any information about what entity_id refers to or how it should be populated.

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 'Push' and identifies the resource ('cloud risk') and destination ('AmpelOracle Art. 28 checks'), making the tool's purpose clear. It is distinct from sibling status/check tools, though 'Art. 28 checks' is cryptic and may require domain knowledge.

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, nor does it mention prerequisites, conditions, or exclusions. It simply states the action, leaving the agent to infer usage context.

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