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

No annotations are provided, and the description fails to disclose behavioral traits such as idempotency, overwrite behavior, or requirement for specific parameters. For a mutation tool, this lack of transparency 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, efficient sentence that conveys the core purpose without wasted words. However, it is so terse that it omits potentially useful context, though this is acceptable given its simplicity.

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 the existence of an output schema and full parameter documentation, the description is incomplete for a mutation tool. It lacks any behavioral context, such as what happens if a record already exists or whether special permissions are needed, leaving the agent with insufficient guidance.

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 the baseline of 3 applies. The description adds no extra meaning beyond the schema's parameter descriptions, but it does not need to compensate for missing schema information.

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 (DNS record), distinguishing it from sibling tools like list_dns_records, update_dns_proxy, and delete_dns_record. It is specific and immediately understandable.

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 any prerequisites, side effects, or conditions. It is a bare statement with no 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that a stack is created, but does not mention side effects such as DNS record creation, auto-start behavior, or what the return value will be. This is a significant gap 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 description is a single, concise sentence with no redundancy. It is front-loaded with the core action and resource, earning every word.

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 having 8 parameters and nested objects, the description provides no prerequisites, behavioral expectations, or hints about the output schema (even though one exists). The tool is complex enough that a one-line description is insufficient for an agent to know when and how to invoke 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 100%, so the schema fully documents all parameters. The description does not add any parameter-specific semantics, but per the baseline rule, a score of 3 is appropriate when the schema handles 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?

The description uses a specific verb ('Create') and clear resource ('Docker service stack'), which clearly states the tool's function. It distinguishes itself from sibling tools like list_stacks and manage_stack by indicating a create operation, not just listing or managing.

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 creating new stacks, but does not explicitly state when to use this tool versus alternatives like manage_stack or validate_stack_config. No exclusions or alternative recommendations are provided, so guidance is only implied by the 'Create' verb.

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 fails to mention permanence, required existing state, auth needs, or result behavior. For a delete operation, this 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, efficient sentence that wastes no words. It directly states the core purpose without redundancy, making it highly 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?

Given the simple one-parameter schema and presence of an output schema, the description is minimally adequate. However, the absence of annotations and lack of behavioral context leave room for improvement, making it complete only to a basic degree.

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 the 'subdomain' parameter, and the description adds no additional meaning beyond the schema. The baseline of 3 is appropriate since the schema already documents the parameter entirely.

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 specific action 'Delete a DNS record' with a distinct verb and resource. It distinguishes from sibling tools like create_dns_record and list_dns_records, making its 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?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. It only states the action, leaving 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?

With no annotations provided, the description carries the full transparency burden. It conveys the non-mutating read-only nature ("Returns system health status") and enumerates exactly which checks are performed (Docker, DNS, filesystem), which is meaningful behavioral context beyond the empty 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?

Two front-loaded sentences with zero filler. The first sentence states the core purpose; the second adds high-value detail about what the health check covers. 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 a zero-parameter read-only tool with an output schema available, the description is nearly complete: it states the purpose and enumerates the checks performed. It could add minor context like failure behavior or whether connectivity means outbound network checks, but these are not essential for a simple health-check tool.

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

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

The tool has zero parameters, so per the rubric baseline is 4. The description need not explain parameters, and the empty schema accurately reflects that the tool takes no input.

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 verb ("Check") and resource ("server health and connectivity"), then specifies the covered subsystems (Docker, DNS, filesystem), distinguishing it from siblings like server_info which likely provides broader server 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?

Usage is implied by the name and description—this is the tool to run for a health/readiness check—but there is no explicit guidance about when to prefer this over a sibling like server_info, nor exclusion scenarios.

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 merely restates the tool name and adds no behavioral context. With no annotations provided, it fails to describe output format, permissions, read-only nature, or any side effects—leaving the agent completely uninformed beyond what the name implies.

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 wasted words. It is front-loaded and immediately conveys the action, making it easy to process.

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 optional parameter, no annotations, and an output schema—the description is functionally sufficient. It correctly identifies the operation, and the schema covers parameter semantics, so the agent can invoke it correctly. Slightly more context (e.g., pagination, filtering behavior) would improve completeness, but the core needs are met.

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 a full description for the 'filter' parameter ('Filter records by name'), achieving 100% schema coverage. The tool description adds no parameter-specific information, but the schema already handles this, so the 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 'List DNS records' uses a specific verb (list) and resource (DNS records), clearly distinguishing it from sibling tools like create_dns_record, delete_dns_record, and list_stacks. The purpose is unambiguous and directly names the core action and object.

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 usage guidance is provided, but the name and description make it obvious this tool is for retrieving DNS records. The sibling tools handle create/update/delete operations, so the use case is implied rather than 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?

With no annotations, the description carries the full burden. It states the basic list operation but adds no extra behavioral context (e.g., read-only nature, performance considerations, or filtering behavior). However, 'List' clearly implies a non-mutating operation, so it is minimally transparent but lacks depth.

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 directly states the purpose. It is front-loaded and contains no waste, perfectly adhering to the principle that every sentence should earn 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?

The tool is a simple list operation with three optional parameters fully described in the schema and an output schema present. The description is minimal but sufficient for overall understanding, though it could briefly mention the filtering/sorting capabilities to be fully self-contained. The existing schema compensates for this 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 each parameter (filter, sort_by, include_status) already has a clear description. The tool description adds no additional meaning about parameters, so the baseline score of 3 applies. The 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?

The description 'List all existing Docker stacks' uses a specific verb ('List') and resource ('Docker stacks'), clearly distinguishing it from sibling tools like create_stack, manage_stack, and list_dns_records. The scope 'all existing' 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 context is clear: use this tool to view existing Docker stacks. There are no explicit exclusions or alternatives mentioned, but for a simple read-only list operation, the description adequately implies its use case. With siblings focused on other resources (DNS) or actions (create/manage), the intended usage is obvious.

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 must disclose behavioral traits but does not. It does not mention that the 'remove' action is destructive, that 'logs' may stream or follow, or any side effects or access requirements. The description is generic and uninformative about real 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 concise, but its brevity comes at the cost of specificity. It is a single generic sentence that does not front-load important details like the available actions. It earns its place for being short, but fails to provide substance in that space.

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 moderate complexity (4 parameters, multiple action types, one destructive action), the description is far too minimal. It does not explain the trade-offs between actions, when to use each, or the effects on the stack. Even with an output schema present, the description fails to provide enough context for correct tool selection and 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 input schema fully documents all four parameters (action, stack_name, tail_lines, follow_logs). The description adds no parameter information, but the schema carries the burden, 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 'Perform operations on existing stacks' is vague; 'operations' does not specify the concrete actions like start, stop, restart, remove, or logs. It does distinguish from sibling tools like create_stack and list_stacks by focusing on existing stacks, but lacks the specificity expected for a clear purpose.

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 usage guidance is provided. The description gives no indication of when to prefer this tool over alternatives such as create_stack or list_stacks, nor does it mention any prerequisites or exclusions. The only implied context comes from the phrase 'existing stacks', which is not enough.

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 burden of disclosing behavioral traits. It does state the return content (version, tools, configuration), which is useful. However, it does not explicitly mention that the operation is read-only, safe, or what side effects (if any) exist, though the informational nature implies 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 two sentences, front-loading the primary purpose and then elaborating on output. Every word adds value, with no fluff or redundancy. It is optimally concise for a zero-parameter info 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 tool's simplicity (0 params) and the presence of an output schema, the description sufficiently covers what the tool does and what it returns. It is complete for an informational endpoint, with no missing essential context such as prerequisites or side effects.

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 baseline is 4. The description correctly does not invent parameter information, and the input schema confirms no parameters are needed. No additional explanation is required beyond what the schema already shows.

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 purpose with a specific verb ('Get') and resource ('server information and capabilities'). It distinguishes itself from siblings focused on stacks, DNS, and health checks by covering general server metadata. The inclusion of return content (version, tools, configuration) adds clarity.

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. Sibling tools like health_check are related but no differentiation is provided. The description merely states what it does, 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.

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It indicates a mutation ('Enable or disable') but does not disclose side effects, required permissions, error behavior on non-existent subdomains, or any rate limits. The absence of these details is a significant gap for a state-changing 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 a single, compact sentence that directly states the tool's function without redundant phrasing. It is front-loaded with the action and object.

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 low complexity (two parameters, simple boolean toggle) and presence of an output schema, the description covers the core purpose. However, it doesn't mention what happens if the subdomain doesn't exist or whether changes propagate immediately, which would enhance completeness. Still, it is largely sufficient for a simple tool.

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

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

The schema provides descriptions for both parameters (subdomain and enable) with 100% coverage. The description adds the context of 'Cloudflare proxy' but does not enrich parameter meaning beyond what the schema already states. Baseline of 3 is appropriate given full 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 uses a specific verb ('Enable or disable') and a clear resource ('Cloudflare proxy for a DNS record'). It clearly differentiates from sibling tools like create_dns_record, delete_dns_record, and list_dns_records by focusing on the proxy toggle 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?

The description implies usage for toggling proxy state on an existing DNS record, but it does not explicitly state when to use this tool versus alternatives such as create_dns_record or delete_dns_record. No exclusions or prerequisites are mentioned.

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 must disclose behavioral traits, but it only states the action. It does not indicate whether the operation is read-only, what happens on invalid configurations, or any side effects. The only hint of behavior (conflict checking) appears in the schema, not the description, leaving a significant transparency 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 sentence with no wasted words, but it is so brief that it fails to provide necessary context. It is not verbose, but under-specification makes it less useful than a concise yet informative 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 tool has a nested object parameter and an output schema, and the schema hints at conflict checking, but the description is too minimal to explain the validation process or when it should be used. Sibling tools and the schema provide some context, but the description alone leaves major gaps in understanding what the tool does and returns.

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 both parameters already described ('Stack configuration to validate' and 'Check for port/domain conflicts'). The tool description adds no additional meaning to the parameters, so the 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 'Validate a stack configuration' uses a specific verb and resource, clearly distinguishing it from siblings like create_stack and manage_stack. However, it is essentially a restatement of the tool name and does not elaborate on what validation entails, so it is clear but not maximally informative.

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, such as before creating a stack or to check for conflicts. It does not mention alternatives or exclusions among sibling tools, leaving the agent without context for selection.

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