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 states the tool creates a server and returns details, but doesn't disclose important behavioral traits like whether this is a long-running operation, whether it incurs costs, whether it requires prior setup (e.g., SSH keys, OS selection), or what happens on failure. The 'Returns' line is minimal and doesn't describe the response structure or potential side effects.

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

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

The description is structured as a docstring with Args and Returns sections, which is readable and front-loaded with the purpose. However, the parameter list is long and repetitive, and the Returns section is a single vague line. It's not overly verbose, but it could be more concise by grouping related parameters or removing obvious ones.

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 17 parameters, 0% schema coverage, no annotations, and an output schema present, the description is incomplete. It doesn't explain which parameters are required beyond the schema (region, plan), doesn't clarify optional parameter interactions, and doesn't describe the return value structure. The output schema exists but the description doesn't reference it or summarize what the created server details include.

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 0%, so the description must compensate. It lists all 17 parameters with one-line labels, which is helpful, but it doesn't explain relationships (e.g., os_id vs iso_id mutual exclusivity, attach_vpc vs attach_vpc2 differences, or how user_data relates to cloud-init). The labels are terse and don't add meaning beyond the parameter names themselves.

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 creates a new bare metal server, which is a specific verb and resource. It distinguishes from siblings like bare_metal_update_bare_metal_server and bare_metal_delete_bare_metal_server by the create action, though it doesn't explicitly differentiate from instance_create or other create tools.

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

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

The description provides no guidance on when to use this tool versus alternatives like instance_create or bare_metal_list_bare_metal_servers. It doesn't mention prerequisites, required permissions, or scenarios where this tool is preferred. The only context is the parameter list, which implies usage but doesn't state 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?

No annotations are provided, so the description carries the disclosure burden. It discloses the destructive action and the 'smart identifier resolution' behavior, which is useful. However, it does not state irreversibility, prerequisites, or what happens to associated resources, leaving some behavioral gaps for a deletion operation.

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 compact and front-loaded with the main action, followed by a useful identifier-resolution note and a clear Args/Returns structure. It is slightly padded by the return line, but overall efficient.

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

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

For a single-parameter delete tool with an output schema present, the description covers the core action and parameter semantics. It lacks notes on error behavior or destructive consequences, but given the tool's simplicity, it is sufficiently complete 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 coverage is 0%, so the description must compensate. It does so well by explaining that server_identifier accepts a label, hostname, or UUID, adding meaningful information beyond the bare 'type: string' in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Delete a bare metal server') with a specific verb and resource. It doesn't explicitly differentiate from sibling tools, but the name and scope are unambiguous, so an agent can identify what this tool does.

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

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

Usage is implied: use this tool when you want to delete a bare metal server. There are no explicit when-to-use vs. alternative statements, exclusions, or prerequisites, but the operation is self-contained and there is no competing bare-metal delete sibling.

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 behavioral disclosure burden. It adds useful context by explaining "Smart identifier resolution" and listing accepted identifier types (label, hostname, UUID), and it notes that the return value is bandwidth usage information. However, it does not disclose units, time ranges, authentication needs, or any side effects, though "Get" implies a read-only operation.

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 short and front-loaded with the core action, followed by identifier resolution guidance and a Returns section. There is minor redundancy between the opening sentence and the Returns section, but overall every element earns its place.

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

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

For a one-parameter read-style tool with an output schema present, the description covers the essential operational knowledge: what the tool does, what identifier forms are accepted, and what kind of result to expect. It does not describe bandwidth measurement period or units, but the output schema can carry that detail.

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 only says server_identifier is a string, but the description adds rich meaning: it can be a server label, hostname, UUID, or ID. This directly compensates for the 0% schema description coverage and gives an agent enough information to supply a valid value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: "Get bandwidth usage for a bare metal server." It is clear enough to be distinguished from sibling tools like bare_metal_get_bare_metal_server or instance_get_bandwidth, though it does not explicitly name those alternatives. The additional detail about smart identifier resolution adds specificity without muddying the core 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 guidance is provided about when to use this tool versus alternatives such as instance_get_bandwidth or bare_metal_get_bare_metal_server. The description explains what identifiers can be passed, but not the conditions that would make this tool the right choice over its siblings.

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

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

No annotations are present, so the description carries the full burden. It explicitly identifies the operation as non-mutating ('Get' and 'Returns'), clarifies available identifier forms ('server label, hostname, or UUID'), and describes the output shape. It does not mention error conditions or authorization, but for a simple read operation this is acceptable.

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 tightly formatted: a one-sentence purpose, a note on identifier resolution, an Args section, and a Returns section. No filler or redundancy. Every sentence adds useful information.

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

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

For a single-parameter read tool with output schema, the description covers the action, accepted parameter forms, and the nature of the return value. It does not state what happens on invalid/unknown identifiers or whether authentication is required, but these are minor gaps given the simplicity of the tool.

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

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

Schema description coverage is 0%, but the description compensates by explaining that server_identifier accepts a label, hostname, or UUID/ID, giving the agent concrete valid input types. This goes well beyond the bare 'string' type in the schema, though it lacks format examples or validation rules.

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 states a specific verb ('Get'), a clear resource ('neighbors ... for a bare metal server'), and defines the concept immediately ('other servers on same physical host'). It is distinct from sibling tools like bare_metal_get_bare_metal_server or bare_metal_list_bare_metal_servers because it specifically targets physical-host neighbors.

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 purpose implies when to use it: when a user needs servers sharing the same physical host as a given bare metal server. It does not explicitly mention alternative tools or exclusions, but the specialized scope is clear enough to route an agent correctly among the bare_metal sibling set.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Get details' and 'Returns: Bare metal plan details', which is minimal. It does not mention whether the operation is read-only, requires specific permissions, or has any side effects.

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

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

The description is very short and front-loaded with its purpose, with no unnecessary words. However, it is too terse to be genuinely helpful, sacrificing essential detail 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?

For a simple getter with an output schema, the description is incomplete. It does not explain what 'details' includes, how to find the plan_id, or why to choose this over the many related plan tools. Given the rich sibling context, more guidance is expected.

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

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

The description repeats 'plan_id: The plan ID' which adds nothing beyond the input schema. With 0% schema description coverage, the description should compensate by explaining the format, source, or constraints of the plan ID, but it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves details of a specific bare metal plan, using a specific verb ('Get') and resource. However, it does not explicitly distinguish itself from similar tools like plan_get_plan or bare_metal_list_bare_metal_plans, so it lacks sibling differentiation.

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 listing or searching plans. It does not mention alternatives or any prerequisites, such as how to obtain the plan_id.

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

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

With no annotations, the description must carry the burden of behavioral disclosure. It clearly indicates a read operation ('Get details'), which implies non-destructive behavior, but it does not explicitly state that it is read-only, nor does it mention any other behavioral traits like authentication, rate limits, or failure modes. It stays at the obvious level.

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 compact (three sentences), front-loads the main purpose, and cleanly separates Args and Returns. Every sentence earns its place with no fluff. It is structured for quick scanning.

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 get-by-identifier tool, the description covers the essential usage. Since an output schema is present, the return format is already defined, so the description isn't required to explain it. The identifier resolution guidance rounds out the context. The only minor gap is the lack of explicit differentiation from similar 'get' siblings, which is partially covered by purpose clarity.

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 only the type (string) for server_identifier with zero description coverage. The description compensates by explaining the accepted formats: label, hostname, or ID. This goes beyond the schema and tells the agent how to construct valid identifiers, adding meaningful value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Get details of a specific bare metal server', which is a clear verb+resource combination. It distinguishes itself from sibling list and summary tools by specifying 'specific' and 'details', making its scope 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?

It provides guidance on identifier resolution ('use server label, hostname, or UUID'), which is useful. However, it does not explicitly mention when to use this tool instead of alternatives like bare_metal_get_bare_metal_server_summary or bare_metal_get_bare_metal_bandwidth. The context implies the distinction but doesn't state 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?

There are no annotations, so the description carries the full burden of behavioral disclosure. It conveys that the tool is a read-like get operation, resolves identifiers via label/hostname/UUID, and returns a summary, which is modestly useful. However, it does not explicitly state side effects or lack thereof, permissions or authentication expectations, error behavior, or ambiguity handling, leaving gaps for a tool with no annotations.

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

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

The description is compact and front-loaded with the main action, and the Args/Returns format is easy to scan. It is slightly redundant because 'Smart identifier resolution: use server label, hostname, or UUID' is repeated in a different form under Args ('label, hostname, or ID'), but the overall size is appropriate.

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 required parameter and gives a sense of the output content, and the presence of an output schema reduces the need to describe return format. It is not fully complete contextually because it fails to distinguish itself from the closely named sibling bare_metal_get_bare_metal_server or note when a user should prefer one type of full details instead of a summary.

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 only defines server_identifier as an unadorned string, with 0% schema description coverage. The description adds meaningful semantics by saying the parameter can be a server label, hostname, or UUID/ID, which is essential for correct invocation. It loses a point because of a minor inconsistency: the description mentions 'UUID' in one place and 'ID' in another, and it does not detail resolution conflicts.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a verb and resource: 'Get a comprehensive summary of a bare metal server.' It also specifies the content of that summary (status, specs, and usage). However, it does not explicitly differentiate itself from the similarly named sibling tool bare_metal_get_bare_metal_server, so an agent may still be uncertain which tool to select.

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 'Smart identifier resolution' note provides useful usage guidance: the tool accepts a label, hostname, or UUID, so an agent does not need to look up an ID first. There is no explicit guidance about when to choose this tool over the sibling bare_metal_get_bare_metal_server, bare_metal_get_bare_metal_bandwidth, or other bare-metal tools, so the guidance remains implied rather than explicit.

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

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

No annotations are provided, so the description carries the full behavioral burden. It adds the identifier-resolution behavior (label, hostname, or UUID), which is useful, but it does not disclose side-effect profile, error behavior, or what happens on invalid identifiers. The vague 'Returns: User data information' adds little.

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 short, front-loaded with the main purpose, and every section serves a purpose. The 'Returns: User data information' line is somewhat redundant with the first sentence and the existing output schema, but overall there is no wasted fluff.

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 single-parameter read operation with an output schema, the description is minimally adequate: it states the resource, explains the parameter, and notes the return type. However, it lacks explicit differentiation from sibling bare-metal getters and provides limited behavioral or safety context, which is a gap given there are no annotations.

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

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

Schema description coverage is 0%, so the description must compensate for the undocumented server_identifier parameter. It does so fully by explicitly listing accepted identifier forms: server label, hostname, or UUID. This adds real meaning beyond the raw string type in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Get') and resource ('user data for a bare metal server'), making the tool's function immediately obvious. This clearly differentiates it from sibling tools like bare_metal_get_bare_metal_server and bare_metal_get_bare_metal_server_summary, which target different data.

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 implicitly clear: use this when you need user data for a bare metal server. However, the description does not explicitly say when to use this tool versus alternatives such as get_bare_metal_server or get_bare_metal_server_summary, nor does it mention 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 must fully disclose behavioral traits. It only says 'List available bare metal plans' and 'Returns: List of bare metal plans,' which merely restates the function name and expected return without mentioning pagination, authentication, rate limiting, sorting, or any side effects. This adds no value 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 concise, with a clear front-loaded purpose statement and a structured Args/Returns section. However, it is under-specified; the sentences are essentially tautological to the name and schema, providing little new information. It is efficient in length but lacks substantive content.

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 (so return format is covered) and the tool is simple (one optional parameter), the description misses critical context: it does not differentiate from bare_metal_search_bare_metal_plans, does not explain what 'plan_type' values are acceptable, and never mentions any behavioral aspects. Given the rich sibling set and lack of annotations, this is incomplete for confident 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 input schema has 0% description coverage, so the description must compensate for undefined parameters. It explains plan_type as 'Optional plan type filter,' which is a minimal semantic improvement, but it does not specify allowed values, how filtering behaves, or the format of the filter. This slight clarification earns a 2, but it falls short of adequately describing the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: 'List available bare metal plans.' It is clear and distinct from sibling tools like bare_metal_search_bare_metal_plans because 'list' indicates a broad enumeration whereas 'search' implies criteria. However, it does not explicitly contrast with similar plan-listing tools (e.g., plan_list_plans), so it relies on the name for differentiation.

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

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

The description provides no guidance on when to use this tool versus alternatives such as bare_metal_search_bare_metal_plans, plan_list_plans, or other filtered listers. It neither states the intended use case nor mentions exclusions or when not to use it, leaving the agent to infer context from the name alone.

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

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

The description states a return behavior ('List of bare metal servers with details') and the verb 'List' implies a read-only operation. With no annotations provided, it adds little beyond this: no mention of pagination, authorization, or side-effect guarantees, but for a zero-parameter list tool the burden is modest.

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 compact and front-loaded. The first sentence states the action and scope; the second adds return-shape detail. There is no filler, and the structure is easily scannable.

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

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

For a zero-parameter listing operation with an output schema, 'List all bare metal servers' plus the return note is essentially complete. The only missing context is explicit guidance on sibling filter/list tools, which is already penalized in usage guidelines.

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 takes no parameters, so the schema fully defines the input surface and the description needs no parameter explanation. Per the scoring convention for zero-parameter tools, this is a strong baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'List all bare metal servers.' The 'all' makes scope explicit, but it does not explicitly distinguish this from sibling tools like bare_metal_list_bare_metal_servers_by_status or bare_metal_list_bare_metal_servers_by_region; the distinction is left to the name.

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

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

The word 'all' implies this is the unfiltered list variant, giving a minimal usage context. However, it does not name alternatives such as the by-status or by-region list tools, nor does it state when to prefer those over this one.

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?

There are no annotations, so the description carries the burden of behavioral disclosure. It does state the operation is a list and that it returns a list of servers, which implies a read-only action. It does not mention pagination, ordering, failure behavior, or that only servers in the given region are returned, but for a simple list operation this is minimally adequate.

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

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

The description is short, front-loaded with the core purpose, and uses a clear Args/Returns structure. The Returns section largely restates the first sentence, creating minor redundancy, but nothing is bloated or off-topic.

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 a single required parameter and an output schema present, the description is mostly sufficient for calling the tool correctly. It provides the region argument and what is returned, but it lacks any guidance about choosing this tool over sibling listing tools or about region code validation.

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 0%, but the description compensates by defining the sole parameter: 'Region code (e.g., 'ewr', 'lax')'. It adds practical meaning and examples beyond the bare schema property, though it could go further with a fuller list of valid region codes or a pointer to the regions tool.

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 ('List') and resource ('bare metal servers') with a region scoping criterion, and it gives the region parameter meaning. It does not explicitly differentiate from sibling tools like bare_metal_list_bare_metal_servers or bare_metal_list_bare_metal_servers_by_status, so it misses the top score for sibling differentiation.

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 'in a specific region' implies the tool is for region-scoped listing, and the required region argument reinforces this. However, the description never explicitly says when not to use it or names alternatives such as bare_metal_list_bare_metal_servers for unfiltered listing.

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 states it lists servers, which is a read operation, but does not mention whether it's read-only, any side effects, rate limits, or details like pagination, sorting, or return field scope. It is minimal and leaves many behavioral aspects undisclosed.

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, with a clear structure: a one-line summary followed by Args and Returns sections. Every sentence serves a purpose, and the most critical information (what it does) is front-loaded. There is no redundancy or filler.

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

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

Given the tool's simplicity (one parameter, no nested objects), the description covers the essentials. The output schema is present (though not detailed in the prompt), and the description states it returns a list. However, it lacks details on pagination, maximum results, or any filters beyond status. For a simple filter tool, this is acceptable but not exhaustive, especially given the lack of annotations.

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

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

The schema provides only a string type with 0% description coverage, so the description must compensate. It does so effectively by explaining the parameter's meaning and giving concrete examples ('active', 'stopped', 'installing'). This adds significant value beyond the schema, clarifying what statuses are acceptable, though it doesn't specify case sensitivity or exact match behavior.

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 (list) and resource (bare metal servers) with a specific filter (by status). It distinguishes from the general list tool by emphasizing the status filter, though it doesn't explicitly name sibling tools. The purpose is unambiguous and easy to grasp.

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: when you need to list servers filtered by status. However, it does not explicitly state when to use this tool over alternatives like bare_metal_list_bare_metal_servers or bare_metal_list_bare_metal_servers_by_region, nor does it provide any exclusion criteria. The context is clear from the name but no explicit guidance is given.

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

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

No annotations are present, so the description must carry the burden of behavioral disclosure. 'Reboot' implies a destructive/hard action that will stop and start the server, potentially causing downtime seriously. The description does not mention any side effects like data loss risk, downtime, or auth requirements. It also doesn't clarify if this is a graceful or forced reboot, which is important for an agent to assess impact.

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—three short sentences, each carrying information. It fronts the main action, then the smart identifier resolution, and includes an args/returns structure. Every sentence earns its place without excess fluff.

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 nested objects, has output schema), the description covers the essence. However, it lacks behavioral context such as whether the reboot is graceful or hard, potential downtime, or any prerequisites. With no annotations and an output schema present, the description is complete enough for basic use but leaves an agent without awareness of side effects or confirmation process.

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 description coverage is 0% for the single parameter 'server_identifier', so the description must compensate. The description explicitly explains that the parameter accepts a label, hostname, or ID, providing valuable semantics beyond the schema's bare 'string' type. This is a key addition for correct usage.

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 'Reboot' and the resource 'bare metal server', and mentions smart identifier resolution which adds specificity. It distinguishes from siblings like bare_metal_start and bare_metal_stop by using 'reboot', but doesn't explicitly differentiate from bare_metal_reinstall, though the meaning is clear enough.

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 on when to use this tool: when needing to reboot a bare metal server Seek is a candidate for. It also notes smart identifier resolution, which guides the user on acceptable identifier formats)Skip. However, it doesn't explicitly state when not to use it (e.g., for a full reinstall vs reboot) or mention alternatives, though the sibling list shows similar tools.

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

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

No annotations are provided, so the description carries the full burden. It says 'Reinstall' which implies a destructive operation, but it doesn't disclose that reinstalling will likely wipe data, require confirmation, or have irreversible effects. It also doesn't mention any prerequisites or side effects. The 'Returns' section is minimal and doesn't explain the operation's impact.

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 with the main action. The Args and Returns sections are clearly structured. It doesn't waste words, though it could add a bit more behavioral context without becoming verbose.

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

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

Given it's a destructive operation with no annotations, the description is incomplete. It doesn't mention that reinstalling will likely erase existing data, require an OS image, or have long-running implications. The output schema exists but the description doesn't explain what 'Reinstall operation details' means. For a destructive tool, more context is needed.

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 0%, so the description must compensate. It does explain server_identifier as 'The bare metal server label, hostname, or ID' and hostname as 'New hostname for the server', which adds meaning beyond the raw schema. However, it doesn't clarify whether hostname is optional or what happens if omitted, though the schema shows default null. The description adds some value but not comprehensive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Reinstall a bare metal server.' It also mentions smart identifier resolution, which adds clarity. However, it doesn't explicitly distinguish from sibling tools like bare_metal_reboot_bare_metal_server or instance_reinstall, though the resource and action are clear enough.

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 by stating the action and parameters, but it doesn't explicitly say when to use this tool versus alternatives like bare_metal_reboot_bare_metal_server or bare_metal_update_bare_metal_server. It mentions smart identifier resolution, which is a usage hint, but no explicit when/when-not guidance.

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

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

With no annotations provided, the description carries the burden of behavioral disclosure. It states that the tool returns a list of matching plans, which implies a read-only search. However, it does not explain whether filters are combined, whether all filters are optional, or what happens when no criteria are provided.

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 compact and well-structured: a one-line summary, a bullet-style Args list, and a Returns line. Every sentence earns its place, and the main purpose is front-loaded.

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 low-complexity search tool with an output schema present, this description is reasonably complete: it names the resource, the filter parameters, their units, and the return type. It could be improved by clarifying optionality and filter combination behavior, but those are partially inferable from the schema.

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

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

Schema description coverage is 0%, so the description must compensate. It does so by defining all four parameters and adding meaningful units: vCPUs, RAM in GB, disk in GB, and cost in USD. It does not explicitly note that all parameters are optional, though the schema's null defaults convey that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Search bare metal plans by specifications.' It clearly communicates the tool's function and the four filtering dimensions. However, it does not explicitly differentiate itself from similar siblings like bare_metal_list_bare_metal_plans or plan_search_plans_by_specs, so it falls just short of a 5.

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

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

The phrase 'by specifications' implies this tool is for spec-based filtering rather than plain listing, but there is no explicit when-to-use guidance, no exclusions, and no mention of alternative tools such as list/get plan operations. Usage context is only implied.

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

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

No annotations are provided, so the description carries the burden. It discloses the identifier resolution behaviors (label, hostname, UUID) and that it returns a success message, but does not mention any side effects (e.g., billing starts, requires server to be stopped), provisioning time, or error conditions. This is minimal but not misleading.

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 (about 5 lines) and front-loads the main action ('Start a bare metal server.'). It includes an 'Args' section and 'Returns' section, which are clearly structuredUTE. No irrelevant filler; every sentence serves a purpose.

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

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

For a simple single-parameter tool with an output schema, the description is nearly complete. It specifies the parameter semantics and the return type (success message). However, it could benefit from noting prerequisites like that the server must exist and be in a stopped state, and potential side effects (e.g., billing implications). This is a minor gap.

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

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

The schema only defines the parameter as a string with no description, and schema coverage is 0%. The description adds critical semantics by explaining that the parameter accepts label, hostname, or UUID, and names it 'server_identifier'. This is a significant addition, but there are no other parameters to elaborate on. Baseline for 0 params would be 4, but with 1 parameter it's slightly lower because more detail could be given on accepted formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Start') and resource ('bare metal server'), and clarifies that it targets bare metal servers as opposed to standard instances (sibling instance_start). It also specifies identifier resolution methods, distinguishing it from other lifecycle operations (stop, reboot, delete).

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 clearly indicates when to use this tool: to start a bare metal server, with flexible identifier types. It implies usage context but does not explicitly contrast with sibling tools like instance_start or bare_metal_reboot; however, the resource name makes the distinction clear.

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

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

With no annotations, the description must carry the full burden. It adds useful behavioral context by explaining smart identifier resolution (label, hostname, or UUID) and noting the return value. However, it does not disclose the side effects of stopping (e.g., state change, reversibility via start, potential billing impact) or any error conditions. For a state-changing operation, this is only partially transparent.

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 compact and front-loaded: the core purpose is the first sentence, followed by the key identifier-resolution behavior. The Args/Returns block is minimal and adds no fluff. Every sentence earns its place.

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

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

For a simple one-parameter operation with an output schema present, the description covers the essential information: what the tool does, what the input means, and what the return value looks like. The only gaps are edge-case behavior (e.g., already-stopped server) and prerequisites, but these are minor given the low complexity.

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 0%, so the description must compensate. It meaningfully expands on the bare 'string' type by specifying the parameter accepts a label, hostname, or UUID. This gives an agent concrete guidance on what values to provide. It stops short of examples or format constraints, but is otherwise strong.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States the exact action ('Stop a bare metal server') with a specific verb and resource, and the additional 'smart identifier resolution' detail clearly sets it apart from sibling lifecycle operations like start, reboot, and delete. The purpose is unambiguous.

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

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

The description implies the tool is used to power down a bare metal server, which is a distinct lifecycle operation among siblings. However, it does not explicitly say when to choose stop over reboot or delete, nor does it mention prerequisites or exclusions. Usage context 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?

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose that the tool supports smart identifier resolution (label, hostname, or UUID), which is useful behavioral context. However, it doesn't disclose whether the update is partial or full (e.g., whether omitted fields are reset to defaults), whether DDoS protection changes require a reboot, or any side effects. The 'Returns: Updated bare metal server details' line is helpful but minimal.

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 compact and front-loaded with the core purpose. The Args section is a clean list, and the Returns line is useful. It earns its place without excessive verbosity. Minor deduction for not adding any usage guidance or behavioral nuance that would make it more valuable.

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 5 parameters, no annotations, and an output schema exists. The description covers the parameters and return value, but it lacks context about partial updates, idempotency, or state requirements. For a mutation tool with no annotations, an agent would benefit from knowing whether this is a PATCH-like partial update or a PUT-like full replacement, and whether any fields are mutually exclusive. The output schema exists, so return details are covered, but behavioral context is incomplete.

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

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

Schema description coverage is 0%, so the description must compensate. It does list each parameter with a brief semantic ('New label', 'New tag', 'New user data', 'Enable/disable DDoS protection'), which adds meaning beyond the raw schema. However, it doesn't explain nuances like whether 'tag' is a single tag or list, what format user_data should be in, or whether enable_ddos_protection is a toggle that requires other parameters. The parameter list is present but shallow.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Update a bare metal server.' It also lists the updatable fields (label, tag, user_data, enable_ddos_protection), which distinguishes it from sibling operations like create, delete, start, stop, reboot, and reinstall. However, it doesn't explicitly differentiate from other update tools in the sibling list (e.g., instance_update, block_storage_update), though the resource name in the tool name and description makes that clear enough.

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 context by naming the resource and the fields that can be updated, but it does not explicitly state when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., server must exist, server must be in a certain state) or when not to use it. The smart identifier resolution note is helpful for usage, but there's no explicit routing to alternatives.

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 description says it returns 'Spending analysis with trends and recommendations' but doesn't disclose whether this is a read-only operation, whether it aggregates data across all subaccounts, what time range is covered beyond the months parameter, or whether recommendations are actionable. For an analysis tool with no annotation coverage, 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 concise and front-loaded with the core purpose. The Args and Returns sections are clearly structured and easy to parse. It earns its place with no wasted words, though it could be slightly more informative without becoming bloated.

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 simple schema (1 optional parameter) and an output schema exists, so the description doesn't need to explain return values in detail. However, with no annotations and no mention of whether this is a read-only analysis, whether it covers the entire account or a specific subaccount, or how the results are presented, the description is only minimally complete for an agent to confidently invoke it.

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 0%, so the description must compensate. It does explain the 'months' parameter ('Number of months to analyze (default: 6)'), which matches the schema's default value. However, it doesn't add any additional meaning beyond what the schema already shows, such as valid ranges, minimum/maximum values, or how the value affects the analysis. The description adds minimal value over the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Analyze') and resource ('spending trends over the past months'), which clearly distinguishes it from other billing tools like billing_get_current_balance or billing_list_billing_history. It doesn't explicitly name a sibling alternative, but the scope is clear enough to differentiate it from the other billing tools in the sibling list.

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

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

The description implies usage context: it's for analyzing spending trends over months, which is distinct from getting a current balance or listing invoices. However, it doesn't explicitly state when to use this tool versus alternatives like billing_get_monthly_usage_summary or billing_get_cost_breakdown_by_service, nor does it mention any exclusions or prerequisites.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It simply restates that account info and billing details are returned. It does not explicitly state that this is a read-only operation with no side effects, nor does it mention any authentication/account context or rate limits. The header "Returns:" implies a read operation, but little else is disclosed.

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 short but redundant: "Get account information including billing details" and "Returns: Account information and billing details" say essentially the same thing. It is frontloaded but the extra sentence adds no value. It could be trimmed to a single sentence without losing information.

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

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

With no parameters and an existing output schema, the description's load is small, but it still fails to provide the broader context that could resolve ambiguity among sibling billing tools. It doesn't say whose account is returned (e.g., current authenticated account), whether billing detail covers balance or history, or how this tool relates to other billing read tools. This is adequate for a trivial tool, but not fully self-contained.

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

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

The tool has zero parameters and schema description coverage is 100%, so there are no parameter semantics to add. With 0 parameters, the baseline is 4. The description does not need to explain any input fields, and none are missing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: "Get account information including billing details." This clearly conveys what the tool does. The name already carries an explicit billing scope, so the purpose is distinct from unrelated siblings, though the description itself doesn't explicitly differentiate it from billing_get_current_balance or similar billing read tools.

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

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

There is no guidance about when to use this tool instead of the numerous sibling billing tools (e.g., billing_get_current_balance, billing_list_invoices, subaccount_get_balance_summary). No when-not-to-use conditions, alternatives, or selection criteria are mentioned, so an agent cannot confidently route between these related tools based on the description alone.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description mentions it returns 'Service-wise cost breakdown with percentages' but doesn't disclose whether this is a read-only operation, whether it aggregates data, what time period defaults apply, or any other behavioral traits. For a billing tool with no annotations, 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 concise and front-loaded with the main purpose. The Args and Returns sections are clearly structured and add useful information without excessive verbosity. It's appropriately sized for a simple one-parameter 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?

The tool has an output schema and only one optional parameter, so the description doesn't need to explain return values in detail. However, given the large number of billing sibling tools, the description could benefit from clarifying how this differs from billing_get_monthly_usage_summary or billing_analyze_spending_trends. The lack of behavioral context (e.g., whether this is read-only) is a 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 0%, so the description must compensate. The description does explain the 'days' parameter ('Number of days to analyze (default: 30)'), which matches the schema's default of 30. However, it doesn't add much beyond what the schema already shows, and there's no additional context about valid ranges or behavior for different values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Get cost breakdown by service for the specified period.' This is a specific verb+resource combination that distinguishes it from other billing tools like billing_get_current_balance or billing_list_billing_history. However, it doesn't explicitly differentiate from sibling billing tools like billing_get_monthly_usage_summary, which could also provide cost breakdowns.

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 context by mentioning 'for the specified period' and the days parameter, but it doesn't explicitly state when to use this tool versus alternatives like billing_get_monthly_usage_summary or billing_analyze_spending_trends. There's no when/when-not guidance or mention of alternatives.

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 reveals the return contents (current balance, pending charges, payment history), which adds value. However, it does not mention side effects, authentication requirements, or limitations. Since this is a 'get' operation, read-only behavior is implied but not explicitly stated. The description adds some behavioral context but could be richer.

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

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

The description is extremely concise: a single purpose sentence plus a short 'Returns' list. It is front-loaded with the main action, and every sentence earns its place. No fluff or redundant information.

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

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

Given that an output schema exists (though not detailed here), the description need not enumerate all return fields, but it does list the key items (balance, pending charges, payment history). However, it lacks context about when to use this tool versus siblings, and does not mention any prerequisites or limitations. For a no-parameter read operation, it is mostly complete but would benefit from naming alternatives or clarifying the scope of 'payment information'.

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 schema coverage is trivially 100%. The description correctly does not attempt to explain parameters, as there are none. The mention of 'payment history' might imply a time scope, but that is not a parameter. Per the baseline for zero-parameter tools, this is adequate.

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: 'Get current account balance and payment information.' It identifies a specific resource (account balance) and the action (get), making the purpose unambiguous. However, it does not explicitly differentiate from sibling billing tools like billing_get_account_info or billing_list_billing_history, though the focus on 'current balance' and 'payment information' gives reasonable distinction.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention sibling tools or conditions that would favor one billing endpoint over another. Given the large cluster of billing tools (e.g., billing_get_account_info, billing_get_payment_summary), the lack of usage direction is a significant gap.

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 clearly implies a read operation ('Get'/'Returns') but does not explicitly disclose that it makes no changes, does not mention permissions or data freshness, and only describes the outcome without behavioral constraints. For zero-parameter read tool this is a modest but understandable 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 compact and front-loaded; the first sentence states the action and the second formats the return label clearly. Minor redundancy between 'usage and cost summary' and 'usage summary with service breakdown' costs one point, but overall it uses no wasted words.

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

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

Given zero parameters and an output schema that can carry return fields, the description is minimal yet adequate for a simple read-only call. The main remaining gap is that it does not position itself relative to the several near-duplicate billing summary siblings, so an agent could still pick the wrong tool without opening schemas or reading surrounding 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?

With zero parameters and an empty input schema, no parameter documentation is needed. The description adds no parameter-specific meaning, but the baseline for 0 params is 4, and there is nothing here that detracts from that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ('Get current month usage and cost summary') and adds a return detail ('with service breakdown'). However, it does not distinguish itself from very similar siblings like billing_get_monthly_usage_summary or billing_get_last_month_summary, so it misses the top point for active differentiation.

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 choose this tool over alternatives. There are many billing siblings (`billing_get_monthly_usage_summary`, `billing_get_last_month_summary`, `billing_get_cost_breakdown_by_service`, etc.) and the text never names them, states exclusions, or explains what makes this the right pick.

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 states that it returns invoice details including line items, but does not mention authentication needs, error behavior, or an explicit read-only guarantee. The description mostly restates the tool's name and adds only minimal return information.

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

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

The description is compact and well-structured with labeled Args and Returns sections. Every line adds information: the core action, the parameter meaning, and what the caller can expect back. There is no filler.

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

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

The tool is simple—one required parameter and an output schema—so the basics are present. However, it lacks usage guidance and behavioral context, which could lead an agent to confuse it with billing_list_invoice_items or to call it without understanding when it is the appropriate 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?

The input schema provides no parameter description (0% coverage), and the description supplies only 'The invoice ID' for invoice_id. This gives a minimal semantic anchor but does not explain where to obtain the ID or any expected format, so it only partially compensates for the schema 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 states the action ('Get details') and the resource ('a specific invoice'), making it distinguishable from list-style billing tools. However, it does not explicitly differentiate itself from sibling tools like billing_list_invoices or billing_list_invoice_items, so it falls just short of full sibling distinction.

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

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

No guidance is given on when to use this tool versus alternatives such as billing_list_invoices or billing_list_invoice_items. There are no prerequisites, exclusions, or explicit routing cues beyond the phrase 'specific invoice'.

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 carry the burden of behavioral disclosure. It only states that a summary is returned; it does not mention that this is a read-only call, how 'last month' is defined, what timezone or currency is used, or whether any authentication or account context is required.

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

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

The description is short and front-loaded with the core purpose. The 'Returns' line adds the new detail 'with service breakdown', but it also repeats 'last month usage summary', creating slight redundancy rather than fully earning its place.

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

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

For a zero-parameter tool with an output schema, the description is close to adequate: it states the resource and the returned breakdown. However, it leaves 'last month' ambiguous and gives no sense of how this tool relates to other billing summary tools, so an agent may still be unsure when to call it.

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

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

The tool has zero parameters and the schema description coverage is 100%, so there are no undocumented parameters for the description to clarify. This earns the baseline score of 4 for a no-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ('Get last month usage and cost summary') and adds that the result includes a service breakdown. It is clear about what the tool returns, though it doesn't explicitly distinguish itself from billing siblings like billing_get_current_month_summary or billing_get_monthly_usage_summary.

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

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

No guidance is given about when to use this tool versus nearby alternatives such as billing_get_current_month_summary, billing_get_cost_breakdown_by_service, or billing_list_billing_history. There are no exclusions, prerequisites, or decision rules to help an agent select it confidently.

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 burden of behavioral disclosure. It only says 'Get' which implies a read operation, but does not explicitly state it is read-only, nor does it mention any side effects, permissions, or limitations. The return format is partially described ('with service breakdown'), but the description lacks detail about what the summary includes (e.g., taxes, discounts) or any rate limits.

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 with no fluff. The main purpose is front-loaded in the first sentence, followed by clear parameter and return sections. It wastes no words and is easy to scan. It could be more descriptive, but it is appropriately sized for a simple getter 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?

The tool is simple, and the output schema exists, so return values are covered by the schema. However, the description lacks usage context, such as when to use this tool versus other billing summaries (e.g., current month, last month, or listing history). It also does not mention any limitations or assumptions (e.g., only for past months). While not incomplete for basic use, it leaves room for an agent to mis-select among the many billing siblings.

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 only types and requirement, with zero description coverage. The description adds meaning by giving an example for year ('e.g., 2024') and a range for month (1-12). This clarifies acceptable values and expected format, which is essential for correct invocation. It does not fully explain the meaning of 'usage summary', but the parameters themselves are well documented.

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 it retrieves a monthly usage and cost summary, with a specific verb and resource. The parameters (year, month) indicate a specific time period, which distinguishes it from sibling tools like billing_get_current_month_summary or billing_get_last_month_summary, though it doesn't explicitly name them. The purpose is unambiguous.

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

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

The description provides no guidance on when to use this tool versus other billing tools like billing_get_current_month_summary or billing_list_billing_history. There are no explicit usage conditions, alternatives, or exclusions. The parameters imply it's for a specific month, but this is not stated explicitly.

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 discloses that the tool returns a payment summary and account status, but it does not describe any behavioral details such as whether it reflects current or historical data, whether it aggregates across subaccounts, or what the response structure contains. The output schema exists but the description adds minimal behavioral context.

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

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

The description is short and front-loaded, but it wastes a line by repeating 'Payment summary with account status' in a Returns block that adds no new information. It could be a single sentence without the redundant return statement.

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

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

For a zero-parameter read tool with an output schema, the description is minimally adequate. However, given the large billing sibling family, it would benefit from clarifying what distinguishes this summary from billing_get_current_balance, billing_get_monthly_usage_summary, and billing_get_account_info. The output schema covers return values, so the main gap is differentiation.

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 there is no parameter semantics burden. The description correctly implies a no-input read operation. Baseline 4 is appropriate for a zero-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Get payment summary and account status.' It is distinguishable from billing_get_current_balance and billing_get_monthly_usage_summary by name, but the description does not explicitly differentiate it from those siblings. The repeated 'Returns: Payment summary with account status' adds no new information.

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

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

No guidance is given on when to use this tool versus alternatives like billing_get_current_balance, billing_get_monthly_usage_summary, or billing_get_account_info. The description simply restates the function without context or exclusions.

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

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose the return shape ('Billing history with transaction details') and implies a read-only operation via 'List', but it does not explicitly confirm no side effects, pagination behavior, or date-window semantics. This is adequate for a simple read tool but not rich.

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

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

The description is compact and well-organized, with a clear one-sentence purpose followed by labeled Args and Returns sections. There is no filler or redundant explanation.

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, has an output schema, and only two optional parameters, so the description covers core invocation needs. However, it lacks guidance on selecting this tool among related billing siblings and gives no detail on pagination or date-range edge cases, leaving some context 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?

Schema description coverage is 0%, so the description must compensate. It does explain both parameters meaningfully: 'days: Number of days to include' and 'per_page: Number of items per page', and it restates defaults. This adds semantic value beyond the bare schema, though it does not provide deeper constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'List billing history for the specified number of days.' It specifies the scope (days) and hints at the content ('transaction details'), but it does not explicitly distinguish the tool from sibling billing tools such as billing_list_invoices or billing_list_invoice_items.

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. Among the many billing siblings, several list-oriented tools exist, and the description does not state what makes billing history the right choice, nor does it mention any exclusions or alternative tools.

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

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

No annotations are provided, so the description carries the full burden. It only says 'Returns: Invoice line items with details' and implies read-only behavior via 'List', but it doesn't disclose pagination behavior, ordering, rate limits, or what 'details' includes.

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 with three clear sections (purpose, args, returns). Every sentence adds information, and the primary purpose is front-loaded. No filler or redundancy.

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

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

For a simple list operation with one required parameter and an output schema present, the description covers the essential inputs and return type. It lacks notes on edge cases or how to obtain the invoice ID, but it is adequate for basic invocation.

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

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

The Args section provides meaning beyond the schema: `invoice_id` is identified as an ID and `per_page` is explained with its default value of 25. Since the schema has 0% description coverage, this textual clarification is valuable, though `invoice_id` is somewhat self-evident.

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 action ('List') and resource ('items in a specific invoice'), which distinguishes it from sibling `billing_list_invoices` (lists invoices, not line items). However, it doesn't explicitly differentiate from `billing_get_invoice`, which might also return line items, so it's not perfect.

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

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

No guidance on when to use this tool versus alternatives like `billing_get_invoice` or `billing_list_invoices`. The description doesn't mention how to obtain the invoice ID or whether this is the preferred way to access detailed line items.

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 carry the full burden of behavioral disclosure. It only states that the tool lists invoices and returns pagination info; it does not mention authentication, scope of 'all' (account-wide, project-wide, etc.), allowed statuses, or error behavior. For a billing-sensitive read operation, this is a meaningful gap.

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

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

The description is tight and well-structured, front-loading the action and then using a clean Args/Returns layout. Every sentence earns its place with no filler or repetition.

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 large sibling set and the existence of confusingly similar billing tools (billing_list_billing_history, billing_get_invoice, billing_list_invoice_items), the description fails to situate this tool among its alternatives. It also leaves pagination mechanics vague (e.g., how a caller obtains subsequent pages), so the agent cannot fully predict how to use the result.

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 no description for per_page, so the description's 'Number of items per page (default: 25)' adds the core semantic meaning. However, it largely restates the schema default and does not explain null behavior or any constraints, so it only partially compensates for the 0% 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 states a specific verb and resource ('List all invoices') that is immediately understandable. It does not, however, distinguish itself from closely related billing siblings like billing_get_invoice or billing_list_billing_history, so it stops short of full 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?

There is no guidance on when to use this tool versus billing_list_billing_history, billing_get_invoice, or billing_list_invoice_items. The description gives no context about what distinguishes 'invoices' from other billing artifacts, and it offers no exclusions or alternative routing.

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 usefully discloses smart identifier resolution and the live flag's reboot semantics, but it omits mutation caveats (e.g., detaching from a previous instance, region requirements, permission needs). It says 'Returns: Success confirmation' but doesn't describe side effects.

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

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

The one-liner is front-loaded and the Args/Returns sections are logically structured with no filler. Slight redundancy exists because the Args section repeats schema property names, and ctx is extraneous, but overall the description is tight and scannable.

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?

Adequate for a simple attach operation: it covers identifier resolution, the live parameter, and return confirmation. Missing context like whether the volume must be unattached, whether a reboot is required when live=false, and whether the volume/instance must be in the same region leaves gaps for an agent making real-world decisions.

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 0%, so the description must compensate. It does, by explaining that volume_identifier accepts label/ID and instance_identifier accepts label/hostname/ID, and by documenting the live default. However, it lists ctx, which is absent from the schema, and doesn't clarify types or constraints beyond identifier forms.

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 opening line 'Attach block storage volume to an instance' states a specific verb and both resource types, immediately distinguishing it from sibling tools like block_storage_detach, block_storage_create, and block_storage_list_* operations. No ambiguity about what this tool does.

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

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

The description explains the action but gives no when-to-use guidance, no prerequisites (e.g., volume must be unattached, instance must be running), and no alternatives or exclusions. An agent must infer when to choose this over the many sibling storage operations.

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 present, so the description must carry the behavioral burden. It does disclose that it creates a persistent volume and describes size limits, optional block_type effects, and the presence of a context object. However, it fails to state billing/cost implications, permission requirements, idempotency, or that the created volume will initially be unattached.

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 efficiently formatted with a clear one-line purpose, then Args and Returns sections. Every sentence adds information about a parameter or result; no padding or repetition.

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 an output schema available, the returns summary is a bonus rather than a necessity. The main gaps are the lack of valid values for block_type and the lack of guidance about when it is required. The description is sufficient but not comprehensive enough for an agent to safely validate all invocation choices from free text alone.

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 0% description coverage, but the description adds useful meaning for every schema parameter: region examples, size range (10-40000 GB), optional label recommendation, and block_type effect. It does not enumerate possible block_type values or region code options, but the coverage is robust compared to the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Create a new block storage volume.' It is immediately distinct from siblings like block_storage_delete, block_storage_attach, and object_storage_create by naming the exact resource type and 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 does not state when to use this tool versus alternatives, nor does it mention the follow-up lifecycle (e.g., attach to a server, then delete). It gives no guidance on when to choose block storage over object storage, and no prerequisites or exclusions.

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

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

No annotations are provided, so the description carries the full burden. It discloses deletion and return values, but does not state that deletion is permanent, what happens if the volume is attached to an instance, or whether confirmation is required. This is a significant gap for a destructive operation.

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 short and front-loaded, with a clear first sentence followed by args and returns. The only structural flaw is listing ctx as an argument even though the schema does not include it.

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 single-parameter tool with an output schema, the basics are covered: what it deletes, how to identify the volume, and that it returns confirmation. But the absence of behavioral warnings and any route to alternative tools leaves it merely adequate rather than fully 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?

With 0% schema coverage, the description compensates by explaining that volume_identifier accepts 'Volume label or ID.' This is the key detail an agent needs. However, it also lists a ctx argument that is absent from the input schema, causing slight ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Delete a block storage volume,' naming a specific verb and resource. This clearly separates it from sibling operations like block_storage_attach, block_storage_detach, and block_storage_update.

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 choose this over alternatives such as block_storage_detach, nor any mention of prerequisites like listing volumes first. The 'smart identifier resolution' note explains how to identify a volume, not when deletion is appropriate.

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

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

With no annotations, the description carries the burden for behavioral disclosure. It usefully explains the 'live' parameter and states that a success confirmation is returned, but it omits side effects, permission requirements, or consequences of detaching a mounted volume. The information provided is helpful but not comprehensive for a mutating operation.

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 compact, clearly structured with Args and Returns sections, and front-loads the core purpose. Every sentence contributes useful information without redundancy.

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 mutable effect, no annotations, and only two parameters, yet the description omits preconditions like the volume needing to be attached. It covers return behavior and identifier resolution, but an agent would still lack awareness of potential side effects or safety considerations.

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 only defines bare types, so the description adds meaningful semantics: volume_identifier accepts a label or ID, and live controls whether detaching happens without rebooting. It even documents ctx for notifications, though ctx is absent from the schema. This offsets the 0% schema description coverage well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a precise verb and resource: 'Detach block storage volume from its instance.' This clearly distinguishes the tool from siblings like block_storage_attach and block_storage_delete. The extra 'Smart identifier resolution' note further clarifies the operational scope.

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

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

The description implies the tool is for detaching a volume from an instance but gives no explicit guidance on when to choose it over alternatives or what prerequisites exist. It does not mention when not to use it, such as if the volume is not attached or if data safety requires additional steps.

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 behavior. It does explain that the tool returns step-by-step instructions and commands and that identifier resolution accepts label or ID. It does not explicitly state that the operation is read-only/non-mutating or describe error behavior if the volume is not found.

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 short, front-loaded with the main purpose, and organized into clear Args/Returns sections. Minor redundancy exists because 'volume label or ID' is essentially stated twice, but there is no filler or irrelevant content.

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 single-parameter, read-oriented tool with an output schema present, the description covers the essential invocation details: what the parameter accepts and what kind of result to expect. It could mention edge cases or prerequisites more explicitly, but the tool is simple enough that nothing critical is missing.

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

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

The schema only declares volume_identifier as a string with zero parameter documentation, so the description must compensate. It does, by specifying that the value can be either a volume label or an ID, which is essential semantic 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 clearly states the action: retrieve mounting instructions for a block storage volume on Linux. It names a specific resource and platform, and the verb 'Get' makes the operation's nature clear. It does not explicitly differentiate itself from the similar sibling storage_gateway_get_mount_instructions, so it falls short of a 5.

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

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

The phrase 'Use volume label or ID' gives concrete guidance on how to supply the identifier, which is useful. However, there is no explicit statement about when to choose this tool over alternatives like storage_gateway_get_mount_instructions, and no exclusion or when-not-to-use guidance.

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

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

Despite no annotations, the description adds that it returns attachment, usage, and cost details, and that identifier resolution is smart (label or ID). It does not explicitly state read-only side effects, permissions, or error handling. The 'Get' prefix implies a safe read, but more disclosure would benefit an agent with no annotation safety information.

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

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

The description is short and well-structured: purpose first, followed by smart resolution note, then organized Args and Returns sections. Every sentence earns its place. No unnecessary details or repetition.

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 an output schema present, the description doesn't need to itemize every return field; it still lists attachment, usage, and cost as examples. It covers purpose, parameter semantics, and a sensible scope. It doesn't mention error handling or how to distinguish between ID types, but this is acceptable for a one-parameter getter.

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?

With schema coverage at 0% and only a bare type string, the description adds essential semantics: volume_identifier can be a label or ID, and resolution is automatic. This compensates for a completely undocumented schema property. It could include more detail like example formats, but the added meaning is sufficient for a single-param tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action — 'Get comprehensive status information for a block storage volume' — with a clear resource. 'Smart identifier resolution' further clarifies that the volume can be referenced by label or ID, distinguishing it from listing or mutation tools. Sibling tools like block_storage_list_by_region or block_storage_create are obviously different in intent.

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

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

The description implies the tool is for retrieving status of a single volume, but it does not explicitly contrast it with alternatives like block_storage_list_by_region or mounting instructions. Nothing states when to choose this over another block_storage getter. Usage context is implied rather than explicit.

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

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

There are no annotations, so the description carries the burden of disclosing behavior. 'List' implies a read-only operation, but this is never stated explicitly. The description adds that it returns volumes 'currently attached' and includes instance information, giving some context. However, it omits key behavioral details like pagination, potential rate limits, or permissions required. A 3 is appropriate for a simple list operation with no annotations.

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

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

The description is two tight sentences with no filler. It clearly states the primary action and the expected return without redundant phrasing. Every word earns its place.

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

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

For a zero-parameter list tool with an output schema (which presumably documents the return structure), the description is largely sufficient. It states the scope ('all attached volumes') and the inclusion of instance information. The only missing elements are explicit mention that the operation is read-only and a pointer to the sibling tool for unattached volumes, but these are minor given the simplicity of the 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, and the schema is empty, so there is nothing to document. According to the rubric, a baseline of 4 is justified for 0-parameter tools. The description does not need to add anything beyond confirming no inputs are required, which is implicitly clear from the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('List') and resource ('attached block storage volumes') with added detail ('with instance information'). The name and description clearly differentiate from the sibling block_storage_list_unattached, leaving no ambiguity about what this tool returns.

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 provide any explicit guidance on when to use this tool versus alternatives. It does not mention that block_storage_list_unattached exists for the complementary use case, nor does it provide any context about filtering or scope. An agent must infer usage from the name alone.

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

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

With no annotations provided, the description must carry the behavioral disclosure burden. It states it will return a list of volumes in the region, which clearly implies a read-only list operation. However, it does not explicitly say the operation has no side effects, nor does it cover pagination or error behavior. For a simple list tool, the core intent is conveyed, but many behavioral details are left unstated.

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 compact: a single sentence for the purpose, followed by structured Args and Returns sections. There is no filler, and the structure makes the parameter meaning and return value easy to scan. It could be even more succinct, but it already earns its place.

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

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

For a one-parameter tool, the description covers the primary operation, the parameter meaning including examples, and the return value. An output schema is present, so the Returns description is sufficient. Minor gaps exist (e.g., pagination, behavior when region is invalid), but the overall context is enough for a confident 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 only declares 'region' as a string, with no description (0% schema coverage). The tool description fully compensates by explaining the parameter as 'Region code to filter by' and listing concrete examples ('ewr', 'lax', 'fra'), which gives the agent the necessary semantic context to supply a valid value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'List block storage volumes in a specific region,' clearly identifying the action (list), resource (block storage volumes), and scope (region). This differentiates it from sibling tools like block_storage_list_unattached and block_storage_list_attached, which filter by attachment state instead of region.

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 about when to use this tool versus alternatives. It does not mention block_storage_list_unattached, block_storage_list_attached, or any other list variants, and gives no context about when region-based filtering is the correct choice. Usage guidance is left 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, the description carries the burden of behavioral disclosure. It clearly states the operation (list) and the return value (list of unattached volumes), but does not mention pagination, scope (e.g., region), or any side-effect profile. For a simple read-only list, this is acceptable but not rich.

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

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

The description is two short sentences, front-loaded with the core purpose, and includes a return type. No wasted words.

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

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

For a zero-parameter list operation, the description covers the essential return shapelocked on completeness. It does not explicitly mention pagination or the geographic scope of 'all,' which could matter in a multi-region block storage API, but the output schema and simplicity reduce that 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 tool has zero parameters)Skip baseline is 4 for no parameters. The description adds no parameter information, but there are no parameters to document.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'List all unattached block storage volumes.' It clearly distinguishes itself from the sibling block_storage_list_attached by the 'unattached' qualifier, so an agent can tell them apart without inspecting schema.

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

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

The description implies usage for unattached volumes, but does not explicitly state when to use this tool versus block_storage_list_attached or block_storage_list_by_region. The distinction is inferable from the name and context, but no exclusions or alternatives are named.

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 behavior itself. It clearly states the constraint that 'size can only increase, not decrease', which is critical behavioral information, and mentions that it returns a success confirmation. However, it does not disclose potential side effects, permissions needed, or what happens to the volume during the update (e.g., downtime).

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, with a summary and an args list. It is front-loaded with the purpose. Every sentence serves a purpose, though the 'Smart identifier resolution' line could be integrated into the parameter description. The structure is clear and avoids redundancy.

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 complexity (3 params, all optional except one), the description covers the parameters well and mentions the return type. However, it lacks context on when to use this tool versus sibling tools like block_storage_attach or block_storage_create, and does not explain any prerequisites or effects beyond the size constraint. The output schema exists but is not described, so the description's mention of 'Success confirmation' is minimal.

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

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

Schema description coverage is 0%, so the description must explain the parameters. It does so for all three: volume_identifier with 'Volume label or ID', size_gb with 'New size in GB (can only increase, not decrease)', and label with 'New label'. This adds meaning beyond the schema, which only provides types and optionality. The descriptor for volume_identifier is helpful in explaining smart identifier resolution.

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 'Update block storage volume configuration' using specific verbs and resources. It also lists the updatable fields (size, label), and it distinguishes itself from sibling tools like block_storage_delete, block_storage_attach by focusing on configuration updates. The smart identifier resolution note clarifies the accepted input.

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 explains the purpose and the parameters but does not explicitly state when to use this tool versus alternatives. There is no mention of prerequisites, such as whether the volume must be unattached, or when to use block_storage_create or delete. The 'smart identifier resolution' gives context but not usage guidance.

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

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

No annotations are provided, so the description must carry the full burden. It discloses the analysis nature (implying read-only) and the 'Smart identifier resolution' behavior, plus the return fields. However, it does not explicitly state that it is non-destructive, does not mention authentication requirements, or any other side effects. This is a moderate level of 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 concise and well-structured, with a clear summary, an argument list, and a return section. The main purpose is front-loaded. It is not overly verbose, and each sentence adds value.

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 an output schema exists, the return details are covered. The description covers the parameters and the 'Smart identifier resolution' feature. It does not mention prerequisites or error conditions, and it lacks explicit differentiation from similar CDN analysis tools, but the essential information for calling the tool is present.

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

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

Schema description coverage is 0%, so the description must compensate. It explains zone_identifier: 'use origin domain, CDN domain, or UUID' and days: 'Number of days to analyze (default: 7)'. This adds meaning beyond the schema, which only has type and default. However, it does not elaborate on edge cases or format constraints, so it is good but not exhaustive.

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: 'Analyze CDN zone performance over the specified period.' This is a specific verb and resource. However, it does not differentiate from sibling tools like cdn_get_cdn_zone_stats, which also provides performance-related data, so it lacks explicit differentiation.

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

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

No guidance is given on when to use this tool versus alternatives such as cdn_get_cdn_zone_stats or cdn_get_cdn_zone_logs. The description mentions 'Smart identifier resolution' but that pertains to parameter input, not usage context. There is no when-to-use or when-not-to-use guidance.

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

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

With no annotations provided, the description carries the full burden. It discloses the operation (upload), the accepted formats (PEM), and the smart identifier resolution behavior. However, it doesn't disclose whether this overwrites an existing certificate, whether the certificate is validated before upload, or any rate limits or auth requirements. The 'Returns' section is minimal.

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 compact and front-loaded with the core purpose. The Args section is clearly structured and each parameter gets a line. The 'Smart identifier resolution' note is useful and placed early. Minor redundancy: 'Returns: SSL certificate details' is vague and adds little, but overall it's efficient.

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

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

The tool has an output schema, so return values are covered elsewhere. The description covers the main inputs and the identifier flexibility. However, for a mutation tool with no annotations, it doesn't mention whether the upload replaces an existing certificate, whether the zone must already exist, or what happens if the certificate is invalid. These are meaningful gaps for an agent deciding to call this tool.

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

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

Schema description coverage is 0%, so the description must compensate. It does: it explains that zone_identifier accepts origin domain, CDN domain, or UUID, and it specifies PEM format for certificate and private_key, and notes certificate_chain is optional. This adds real meaning beyond the bare schema types. It loses a point because it doesn't explain what 'certificate chain' means or how the chain should be ordered.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Upload SSL certificate for a CDN zone.' It clearly distinguishes this from sibling tools like cdn_get_cdn_ssl_certificate and cdn_delete_cdn_ssl_certificate. However, it doesn't explicitly contrast with those siblings, so it loses a point for not naming the alternative.

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 context: it's for uploading an SSL certificate to a CDN zone, and the 'Smart identifier resolution' note explains how to identify the zone. But it doesn't explicitly state when to use this tool versus alternatives like cdn_get_cdn_ssl_certificate or cdn_delete_cdn_ssl_certificate, nor does it mention prerequisites like having a zone already created.

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 'Create a new CDN zone' and lists parameters. It does not mention side effects (e.g., whether existing zones are affected), idempotency, authentication/authorization requirements, rate limits, or any failure modes. This is a significant gap for a creation 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 well-structured with an 'Args' section followed by 'Returns', and the action sentence is front-loaded. It is concise with no fluff. While it could be slightly shorter, it efficiently conveys the essential information without repetition.

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 includes a 'Returns' section and the output schema exists, so return values are covered. However, it omits behavioral context such as prerequisites (e.g., the origin domain must be valid and accessible), any limitations on the number of zones, and potential error conditions. For an 8-parameter creation tool with no annotations, this is only partially 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 0%, so the description must compensate. It lists all 8 parameters with brief one-line meanings (e.g., 'origin_scheme: Origin scheme (http or https)'), which adds some semantic value. However, it lacks details on formats, allowed values beyond the scheme hint, relationships between parameters, or defaults. It does not fully compensate for the schema's lack of descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create' and the resource 'CDN zone', distinguishing it from siblings like cdn_update_cdn_zone, cdn_delete_cdn_zone, and cdn_list_cdn_zones. The parameter list enumerates the configurable properties, making the purpose unambiguous.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives. It does not state prerequisites (e.g., need an origin domain), conditions that favor it over other creation tools, or scenarios where it should not be used. The verb 'create' implies the obvious use case, but no context or exclusions are provided.

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 states that the certificate is removed and that a success message is returned, but it does not mention consequences such as HTTPS being disabled, reversibility, prerequisites, or any side effects on the CDN zone.

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 brief and well-structured, with the core action front-loaded followed by essential argument and return information. There is no filler or redundant content.

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

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

For a simple one-parameter deletion tool, the description covers the action, the accepted identifier formats, and the expected return. An output schema exists, so detailed return-value documentation is not necessary. The main missing piece is behavioral caveats, which is already reflected in the behavioral transparency score.

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 only defines zone_identifier as a string. The description adds meaningful semantics by specifying that it accepts an origin domain, CDN domain, or ID, fully compensating for the schema's lack of description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Remove SSL certificate from a CDN zone.' This clearly distinguishes the tool from related CDN operations like creating or retrieving SSL certificates and deleting the zone itself.

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 concrete context for using the tool by explaining that the zone_identifier can be an origin domain, CDN domain, or UUID. It does not explicitly name alternatives or say when not to use the tool, but the operation is specific enough that this is not a major gap.

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 behavioral burden by itself. It names the destroyed resource and the success response, and it usefully discloses that zone_identifier can be an origin domain, CDN domain, or UUID; however, it does not warn that deletion is likely permanent or describe effects on related resources.

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

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

The description is compact and front-loaded, with no filler. The 'Smart identifier resolution' note earns its place, and the Args/Returns layout makes the single parameter and outcome immediately readable.

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

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

For a one-parameter destructive tool, the identifier semantics and success return are covered, and an output schema exists for return details. But the absence of any safety or consequence disclosure, combined with no annotations, leaves the definition incomplete for an agent that must decide whether deletion is appropriate.

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

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

The input schema only declares zone_identifier as a string with 0% description coverage. The description compensates fully by defining the three accepted identifier forms (origin domain, CDN domain, or ID), which is exactly the semantic information needed to call the tool correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Delete a CDN zone,' a specific verb and resource that clearly states the operation. It is easily distinguished from sibling CDN tools such as cdn_purge_cdn_zone or cdn_update_cdn_zone because only this tool deletes the zone itself.

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 intended trigger is implied by 'Delete a CDN zone': an agent should call this when a CDN zone needs to be removed. However, it does not explicitly state when not to use it or point to alternatives, such as using cdn_purge_cdn_zone when only cached content needs clearing.

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 states the operation is to 'Get list', which implies a read-only action, and mentions 'with details' for the return. However, it doesn't explicitly state that it has no side effects, requires no permissions, or that it's non-destructive. For a zero-parameter getter, the transparency is adequate but minimal.

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 concise, with only two sentences. The first sentence states the purpose; the second sentence about returns is redundant given the output schema exists but is harmless. It is appropriately sized and front-loaded, with no waste.

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 simplistic nature (no parameters, no annotations, output schema present), the description is functional but lacks guidance on when to use it relative to sibling tools like cdn_list_cdn_zones or region_list. It doesn't mention any limitations or special cases, which could be needed for full completeness, though the operation itself is straightforward.

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 omits parameter details since there are none, and the input schema confirms this. No additional semantics needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get') and resource ('list of available CDN regions'), which is specific and distinguishes it from CDN zone tools like cdn_list_cdn_zones. However, it does not explicitly differentiate from broader region tools like region_list, which could cause ambiguity. It's clear but not fully differentiated.

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

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

No guidance on when to use this tool versus alternatives such as region_list or cdn_list_cdn_zones. There is no mention of prerequisites, scenarios, or exclusions. The description is purely declarative without contextual usage advice.

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 exist, so description carries burden. It discloses that identifier resolution is smart (origin domain, CDN domain, or UUID), which is useful behavior. However, it doesn't disclose return format fully enough beyond saying 'including expiry and status' – no mention of potential errors or authentication needs.

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?

Concise and well-structured: short opening sentence, then a 'Smart identifier resolution' label, Args, and Returns sections. No fluff, each sentence contributes. Slightly could be more compact but overall efficient.

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

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

Given it has an output schema (though not shown), the description doesn't need to explain return values in detail beyond key info. It's a single-parameter tool, so relatively simple. Missing guidance on pagination, error handling, or permission requirements, but those are not critical for a simple get operation. Adequate for the tool's complexity.

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 0%, so description must compensate. The description explains the parameter accepts multiple forms (origin domain, CDN domain, or ID), adding meaning beyond the bare schema. However, it doesn't detail exact format expectations or give examples. Baseline 3 because it partially compensates.

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?

Clearly states it retrieves SSL certificate information for a CDN zone, specifying the resource and action. It distinguishes from sibling tools by focusing on SSL certificate retrieval, but does not explicitly contrast with cdn_get_cdn_zone which might be similar.

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?

Provides guidance on when to use: when needing SSL certificate info. It doesn't explicitly mention when not to use or alternatives, but the context (CDN domain) is clear. No mention of prerequisites or conditions.

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

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

Annotations are absent, so the description carries the full burden. It discloses the smart identifier resolution behavior, which is useful. However, it does not explicitly state that this is a read-only operation, what happens on unknown identifiers, or any additional side effects. The description adds some value but leaves 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 concise and front-loaded: the first sentence states the purpose, the second explains the identifier flexibility, and the Args/Returns sections are minimal. Every sentence earns its place with no redundant content.

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 single-parameter getter with an output schema, this description is largely complete. It covers the main nuance (identifier resolution) and the output schema handles return details. It could mention that the operation is read-only, but the 'get' verb and 'details' make that implicit. Minor gaps in error behavior are acceptable given the low complexity.

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 0%, so this description is the sole explanation for zone_identifier. It clearly documents that the parameter can be an origin domain, CDN domain, or UUID, providing critical semantics far beyond the schema's plain 'string' type.

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 'Get details of a specific CDN zone' with a specific verb and resource. It also adds the smart identifier resolution, which distinguishes this from siblings like cdn_get_cdn_zone_summary or cdn_get_cdn_zone_stats by emphasizing detailed zone information.

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 clear context: it retrieves details of a specific CDN zone, and it explains the acceptable identifier formats (origin domain, CDN domain, UUID). However, it does not explicitly say when to prefer this over sibling getters such as cdn_get_cdn_zone_summary, leaving some ambiguity in 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 carries the full burden. It does disclose the flexible identifier resolution behavior and states the return value ('CDN zone access logs with request details'), but it omits other behavioral details such as whether logs are delayed, any rate limits, date-range constraints, or timezone handling.

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 well-organized with a one-line purpose, a helpful resolution note, and a clean Args/Returns layout. It is concise, though 'use origin domain, CDN domain, or UUID' is partly redundant with the zone_identifier parameter 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?

For a simple read-only log retrieval tool with one required parameter and an output schema, the description covers the essential parameter semantics. It is less complete on usage differentiation, optionality of dates, and edge-case behavior, but it does not leave an agent without enough to make a reasonable call.

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 0%, so the description must compensate, and it does. It explains that zone_identifier accepts 'origin domain, CDN domain, or ID', specifies ISO date formats, and clarifies per_page as 'Number of items per page (default: 25)'.

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 and resource: 'Get access logs for a CDN zone.' This is specific enough to distinguish it from most tools, though it does not explicitly contrast it with related siblings like cdn_get_cdn_zone_stats or cdn_get_cdn_zone_summary.

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 tool's intended use is implied by its name and opening line, and the 'Smart identifier resolution' note gives useful context for identifying the zone. However, there is no explicit guidance on when to choose this tool over sibling CDN tools or what conditions make it inappropriate.

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