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 signals a mutation ('apply') but does not mention side effects, reversibility, required permissions, or what happens on failure. For a state-changing operation, this is a notable 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?

A single, front-loaded sentence with no filler. It states the action, the object, and the key prerequisite 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 tool is simple, both parameters are documented, and an output schema exists, so return-value details are not required. However, for a mutating tool with no annotations, the lack of any behavioral or consequence information makes the description slightly 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%, so the schema already documents both parameters. The description adds little beyond restating that preview_id must be valid and generated from a prior preview, which earns the baseline 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 uses a specific verb—'apply'—with a clear object ('configuration') and a precise prerequisite (a previously previewed configuration with a valid preview ID). This clearly distinguishes it from sibling tools like preview_configuration and validate_configuration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly establishes when to use the tool: after previewing a configuration and using its preview ID. It does not explicitly name alternatives or exclusions, but the prerequisite is clear enough to guide the agent toward correct usage.

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 behavioral disclosure burden. 'Retrieve' implies a read-only operation, and 'stored, user-confirmed' adds a qualifier about which profiles are returned, but the description does not disclose what happens when no profile exists, whether any side effects occur, or what response is expected beyond what the output schema provides.

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. It front-loads the action, resource, and scoping qualifiers efficiently, making it easy for an agent to parse the core purpose 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?

The presence of an output schema means return values do not need to be explained. For a simple read-only getter with fully documented schema parameters, this description is reasonably complete, though it could have noted the scope parameter or provided guidance on sibling 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?

Schema description coverage is 100%, so all parameters are already documented with defaults and meanings. The description adds a minor semantic link by naming host and workspace as selectors, but it does not provide meaningful information 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 states a clear verb ('Retrieve') and a specific resource ('stored, user-confirmed Agent Config profile'), scoped by host and workspace. It is distinct from siblings like get_setup_status or inspect_host because it targets the Agent Config profile, though it does not explicitly name those 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 gives no guidance on when to use get_profile versus siblings like get_setup_status, inspect_host, or save_profile. There are no exclusions, prerequisites, or conditions that would help an agent choose this tool over alternatives; usage must be inferred solely from the 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only operation via 'Query', but does not disclose what readiness status contains, whether it triggers any side effects, how host detection works, or what kinds of output/errors to expect beyond the 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?

The description is a single efficient sentence with no filler. It is front-loaded with the key verb and resource, though it could have used the available space to add sibling differentiation or usage guidance without becoming overly long.

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, all parameters are documented in the schema, and an output schema exists, so return-value details are not required in the description. However, given the sibling tools, some usage guidance or clarification of what 'setup and configuration readiness status' means relative to inspect_host or validate_configuration would make the definition more complete.

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 baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides, but because the schema fully documents scope, host_id, and workspace, this gap 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 clearly identifies the verb ('Query') and resource ('setup and configuration readiness status') for the current host and workspace. It is not a tautology and gives a reasonably distinct purpose, though it does not explicitly differentiate itself from siblings like inspect_host or validate_configuration.

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 context that this queries status for the current host and workspace, but provides no guidance on when to prefer this tool over alternatives such as validate_configuration, inspect_host, or preview_configuration. There are no explicit exclusions or conditional usage 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?

The verb 'Inspect' strongly implies a read-only, non-destructive operation, which is useful behavioral context. However, with no annotations provided, the description carries the full burden and does not disclose details such as whether the inspection is local or remote, potential latency, failure modes, or implications of host auto-detection.

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, well-structured sentence that front-loads the action and resource, then lists the specific inspection areas. There is no redundant wording or repetition of schema details.

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

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

For a read-only inspection tool with optional, well-documented parameters and an output schema available, the description is largely complete. It lacks explicit usage boundaries relative to siblings, but the purpose and scope are clear enough for an agent 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%, and both parameters already have clear descriptions: host_id is optional and auto-detected, workspace defaults to the current directory. The tool description itself adds no extra parameter-level meaning, so 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 ('Inspect') and a clear resource ('host') with enumerated focus areas: runtime capabilities, available models, supported effort values, and execution topology. This is immediately distinguishable from sibling tools like get_setup_status, get_profile, and configuration-related tools without requiring schema inspection.

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 to use the tool: when you need host runtime capabilities, models, effort values, or topology. However, it does not explicitly state when not to use it or mention alternatives, such as get_setup_status or get_profile, so the guidance is left to inference.

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

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

With no annotations provided, the description carries the behavioral transparency burden. It communicates that the tool generates a preview rather than applying changes, but it does not explicitly confirm that no side effects occur, whether it performs validation, or what conditions might cause failure.

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. It front-loads the primary action ('Generate a configuration preview') and then adds clarifying detail about what the preview includes.

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 provides sufficient context for a preview tool, especially given the output schema exists, so return details need not be in the description. However, it lacks explicit non-mutation guarantees or distinctions from the validate_configuration sibling, leaving some ambiguity about when this tool is the correct choice.

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 three parameters. The description adds no parameter-specific meaning beyond referring to the configuration generally, which meets 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 states the tool's purpose: generating a configuration preview with diff and mutation targets. It is distinct from sibling tools like apply_configuration and validate_configuration, though it does not explicitly name 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 phrase 'before applying any changes' implies the tool should be used before apply_configuration, but it does not explicitly describe when to choose this tool over validate_configuration or other siblings, nor does it state when not 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly communicates that the profile is removed, which implies destructiveness and irreversibility, but it does not elaborate on side effects, whether configuration reverts to defaults, or what 'safely' guarantees. The word 'safely' adds a reassuring tone but no concrete 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?

The description is a single, front-loaded sentence with no redundant phrasing. It conveys the action, scope, and a safety framing without wasting words, making it 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?

Although an output schema exists and parameters are fully documented, the description is thin for a destructive operation. It does not mention whether the reset triggers any re-initialization, whether it can be undone, or how it interacts with saved profiles. These gaps could leave an agent uncertain about consequences beyond the literal removal.

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 all three parameters, achieving 100% coverage. The description does not add parameter-specific meaning beyond the schema, so the baseline of 3 applies; it briefly references workspace and host scope, but these are already covered 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 uses specific verbs ('clear and remove') with a clear resource ('host-scoped profile') and scope ('for the specified workspace'), making the action unambiguous. It also distinguishes itself from siblings like get_profile and save_profile by focusing on deletion rather than retrieval or persistence.

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 does not state when to use this tool versus alternatives, nor does it mention any prerequisites or conditions that would make resetting appropriate. While the verb implies a reset scenario, there is no explicit routing guidance relative to sibling tools such as apply_configuration or preview_configuration.

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 does add meaningful behavior: the operation is atomic and includes validation. However, it does not disclose whether an existing profile is overwritten, what happens on validation failure, or what side effects persist beyond saving.

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 tight, front-loaded sentence with no filler. It efficiently communicates the core action, resource, and two key behavioral traits (atomicity and user-confirmation).

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?

Although an output schema exists and parameter coverage is complete, the description lacks enough context for an agent to reliably choose this tool over closely related siblings. It does not explain how 'saving' differs from 'applying' or 'validating', nor does it clarify overwrite or confirmation workflow expectations.

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 already documents both parameters. The description adds no parameter-specific semantics beyond the schema, which is acceptable per the baseline when coverage is high.

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 ('save') and resource ('Agent Config profile'), and adds behavioral qualifiers ('atomically validate', 'user-confirmed'). It is clear about what the tool does, though it does not explicitly distinguish it from siblings like apply_configuration or validate_configuration.

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 'user-confirmed' implies this tool should be used after user approval, giving some contextual signal. However, there is no explicit guidance about when to choose save_profile over siblings such as apply_configuration, validate_configuration, or reset_profile.

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. The verb 'verify' suggests a read-only operation, but the description does not explicitly state that no changes are made, whether a mismatch causes an error or returns a report, or any prerequisites beyond 'after apply'.

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?

Single sentence, front-loaded with the action verb, no filler or redundant detail. It communicates the essential purpose in minimal 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?

The presence of an output schema and fully documented parameters reduces the burden on the description. However, with no annotations, the description omits side-effect and error-handling behavior, which an agent would need for confident invocation in a mutation-related workflow.

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 already documents all four parameters clearly. The tool description adds no additional parameter meaning, which matches the baseline of 3 for full 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?

Description uses a specific verb ('Verify') and resource ('actual host configuration'), and clarifies the goal is comparing against expected configuration. The phrase 'after apply' distinguishes it from preview/apply siblings, though it does not name them explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The temporal condition 'after apply' gives implied usage context — this is the post-apply validation step. However, it does not explicitly mention alternatives, when not to use it, or how it relates to preview_configuration or inspect_host.

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