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 that the tool creates an export ('Add a new export') and returns 'Created export information', but lacks details on permissions, rate limits, or error handling. It adds some behavioral context but is incomplete for a mutation tool.

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

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

The description is well-structured and front-loaded with the purpose, followed by parameter details and return info. Every sentence adds value, with no wasted words, making it efficient and easy to parse.

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

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

For a mutation tool with no annotations and no output schema, the description does well by explaining parameters and return values. However, it could improve by detailing behavioral aspects like authentication or side effects. Given the complexity, it's mostly complete but has minor 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 compensates fully. It explains both parameters: 'gateway_identifier' with 'Gateway label or ID' and 'export_config' with detailed sub-keys (label, vfs_uuid, pseudo_root_path, allowed_ips). This adds significant meaning beyond the bare 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 specific action ('Add a new export') and resource ('to a storage gateway'), distinguishing it from sibling tools like 'delete_export' or 'get_gateway_status'. It precisely defines what the tool does without being tautological.

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 through 'Smart identifier resolution: Use gateway label or ID', suggesting when to use this tool, but lacks explicit guidance on when not to use it or alternatives. No prerequisites or comparisons to other tools 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. It states the tool performs an addition but lacks details on permissions required, whether the change is reversible, rate limits, or error conditions. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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

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

The description is appropriately sized and front-loaded with the core purpose, followed by structured sections for args and returns. Every sentence adds value, though the 'Returns' section could be more specific (e.g., confirming what was added) rather than generic.

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 mutation tool with no annotations and no output schema, the description covers parameters well but lacks behavioral context (e.g., side effects, permissions). It is partially complete but misses critical details needed for safe and effective use, given the tool's complexity and lack of structured metadata.

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 description coverage, the description fully compensates by explaining all three parameters: 'user_id' (UUID or email), 'subnet' (IP address or subnet with examples), and 'subnet_size' (subnet size with examples). It adds essential meaning beyond the bare schema, making parameters understandable.

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

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

The description clearly states the specific action ('Add an IP address or subnet') and resource ('to a user's whitelist'), distinguishing it from sibling tools like 'remove_ip_whitelist_entry' and 'get_ip_whitelist'. It precisely communicates the tool's function without being tautological.

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 adding entries to a whitelist but does not explicitly state when to use this tool versus alternatives like 'remove_ip_whitelist_entry' or 'get_ip_whitelist'. No exclusions or prerequisites are mentioned, leaving usage context partially inferred rather than clearly defined.

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 mentions 'Smart identifier resolution' and the return content ('Performance analysis including cache hit ratio, bandwidth usage, and recommendations'), but fails to cover critical aspects like whether this is a read-only operation, if it requires specific permissions, rate limits, or how the analysis is generated (e.g., real-time vs. historical). For a tool with no annotations, this is insufficient.

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

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

The description is well-structured and front-loaded with the core purpose, followed by clear sections for 'Args' and 'Returns.' Every sentence adds value without redundancy, making it efficient for an AI agent to parse and understand quickly.

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

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

Given the tool's moderate complexity (2 parameters, no annotations, no output schema), the description is partially complete. It covers the purpose, parameters, and return content adequately, but lacks details on behavioral traits (e.g., safety, permissions) and doesn't fully explain the analysis methodology or output format, leaving room for improvement in guiding an AI agent.

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 adds significant meaning beyond the input schema, which has 0% description coverage. It explains that 'zone_identifier' accepts 'origin domain, CDN domain, or UUID' and that 'days' has a default of 7 with context ('Number of days to analyze'). This compensates well for the schema's lack of documentation, though it doesn't detail constraints like valid ranges for 'days'.

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.' It specifies the verb ('analyze'), resource ('CDN zone performance'), and scope ('over the specified period'). However, it doesn't explicitly differentiate from sibling tools like 'get_cdn_zone_stats' or 'monitor_usage', which might offer similar functionality, preventing a perfect score.

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

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

The description provides some implied usage context by mentioning 'Smart identifier resolution: use origin domain, CDN domain, or UUID,' which suggests when to use this tool for identifier flexibility. However, it lacks explicit guidance on when to choose this tool over alternatives like 'get_cdn_zone_stats' or 'analyze_costs,' and doesn't mention prerequisites or exclusions, leaving gaps for an AI agent.

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

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions the tool returns 'detailed cost analysis including projections and recommendations' but doesn't disclose whether this is a read-only operation, what permissions are needed, whether it has side effects, rate limits, or how projections are calculated. For a tool with no annotation coverage, this is inadequate.

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 structured with clear sections for Args and Returns. The first sentence states the core purpose, followed by parameter details. There's minimal redundancy, though the 'Args' and 'Returns' labels are slightly redundant with the schema context.

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

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

Given 2 parameters with 0% schema coverage and no output schema, the description provides basic parameter semantics and return value overview but lacks details about the analysis methodology, output format, error conditions, or authentication requirements. For a cost analysis tool with no annotations, this leaves significant gaps in understanding how to interpret results.

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

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

Schema description coverage is 0%, so the description must compensate. It explains that 'subaccount_id' can be ID, name, email, or UUID and 'analysis_days' has a default of 30 days, adding useful semantic context beyond the bare schema. However, it doesn't cover parameter constraints, formats, or validation rules that would be needed for full understanding.

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

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

The description clearly states the tool analyzes costs and usage patterns for a subaccount, specifying the resource (subaccount) and action (analyze costs/usage patterns). It distinguishes from some siblings like 'get_cost_analysis' or 'analyze_spending_trends' by focusing on subaccount-level analysis, though the distinction could be more explicit.

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 'get_cost_analysis', 'analyze_spending_trends', or 'analyze_kubernetes_cluster_costs'. It mentions the subaccount focus but doesn't explain why one would choose this over other cost-related tools in the sibling list.

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 full burden. It mentions 'analyze' and 'provide recommendations', implying a read-only diagnostic operation, but doesn't disclose behavioral traits like whether it requires specific permissions, has rate limits, returns structured vs. free-text results, or if it performs active probing. This is inadequate for a tool with zero annotation coverage.

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

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

The description is appropriately sized and front-loaded: the first sentence states the core purpose, followed by brief Arg/Returns sections. There's no wasted text, though the structure could be more integrated (e.g., combining purpose and returns).

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 one parameter with 0% schema coverage and an output schema present, the description is minimally adequate. It covers the parameter semantics and return intent but lacks behavioral context (no annotations) and doesn't explain what 'recommendations' entail, though the output schema may address this. For a diagnostic tool, more operational guidance would be helpful.

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 adds meaningful context for the single parameter: 'domain: The domain name to analyze'. With 0% schema description coverage and only one parameter, this compensates well by clarifying the parameter's purpose and format. However, it doesn't specify constraints like valid TLDs or input examples.

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 DNS configuration for a domain and provide recommendations.' It specifies the verb ('analyze'), resource ('DNS configuration for a domain'), and outcome ('provide recommendations'). However, it doesn't explicitly differentiate from sibling tools like 'get_domain' or 'validate_record', which lowers it from a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or compare it to related tools like 'analyze_cdn_performance' or 'get_domain'. The agent must infer usage from the purpose 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. It mentions the tool provides 'comprehensive analysis' with specific return fields, but doesn't address critical behavioral aspects like whether this is a read-only operation, if it requires specific permissions, if it has rate limits, or if it triggers any side effects. For an analysis tool with zero annotation coverage, this leaves significant 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 well-structured and appropriately sized. It starts with a clear purpose statement, then lists the single parameter with its meaning, and finally details the return structure. Every sentence adds value without unnecessary repetition or 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 complexity (analysis with optimization recommendations), lack of annotations, and no output schema, the description does a decent job but has gaps. It explains the parameter and return structure well, but doesn't address behavioral aspects like safety, permissions, or limitations. For a tool that presumably analyzes sensitive usage data, more context about access requirements would be helpful.

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

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

The description provides clear semantic meaning for the single parameter: 'subscription_id: The inference subscription ID or label.' With 0% schema description coverage and only one parameter, the description fully compensates by explaining what this parameter represents, making it easy for an agent to understand what to provide.

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 usage patterns and provide optimization recommendations.' It specifies the verb ('analyze'), resource ('usage patterns'), and outcome ('optimization recommendations'). However, it doesn't explicitly differentiate from sibling tools like 'analyze_costs' or 'optimize_inference_costs', which appear related but have different scopes.

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. There are several sibling tools with 'analyze' or 'optimize' in their names (e.g., 'analyze_costs', 'optimize_inference_costs'), but the description doesn't clarify when this specific tool is appropriate or what distinguishes it from those options.

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 mentions 'estimated costs' and 'cost analysis including per-node costs and total estimated monthly cost,' which gives some behavioral insight (e.g., it's a read-only analysis tool). However, it lacks details on permissions, rate limits, data freshness, or error handling. For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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

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

The description is well-structured and front-loaded with the main purpose, followed by specific details in 'Args' and 'Returns' sections. It uses three concise sentences with no wasted words, making it easy to scan. However, the 'Args' and 'Returns' formatting, while helpful, slightly reduces efficiency compared to a single flowing paragraph.

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

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

Given no annotations, no output schema, and low schema coverage (0%), the description does a decent job by explaining the tool's purpose, parameter, and return value. However, it lacks details on behavioral aspects like error cases, authentication needs, or how the analysis is performed (e.g., real-time vs. cached). For a cost analysis tool, this leaves room for improvement in completeness.

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

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

The input schema has 1 parameter with 0% description coverage, so the description must compensate. It adds value by explaining 'cluster_identifier: The cluster label or ID' and noting 'Smart identifier resolution: use cluster label or UUID,' which clarifies the parameter's purpose and acceptable values beyond the schema's basic type. This effectively documents the single parameter, though it could specify format constraints more explicitly.

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 the estimated costs of a Kubernetes cluster.' It specifies the verb ('analyze') and resource ('Kubernetes cluster'), and distinguishes it from generic cost analysis tools like 'analyze_costs' by focusing on Kubernetes clusters. However, it doesn't explicitly differentiate from 'get_cost_analysis' or 'get_cost_breakdown_by_service', which are sibling 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 some usage context by mentioning 'Smart identifier resolution: use cluster label or UUID,' which implies when to use this tool (for Kubernetes clusters). However, it doesn't explicitly state when to use this tool versus alternatives like 'analyze_costs' or 'get_cost_analysis', nor does it provide exclusions or prerequisites. The guidance is implied but not comprehensive.

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 full burden but only states it 'analyzes' and returns 'trends and recommendations'. It doesn't disclose behavioral traits such as whether it's read-only, requires specific permissions, has rate limits, or what 'recommendations' entail. This leaves significant gaps for a tool that presumably processes financial data.

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 structured with a brief purpose statement followed by 'Args' and 'Returns' sections. It's front-loaded and avoids unnecessary verbosity, though the 'Args' and 'Returns' formatting could be more integrated into natural language for better flow.

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

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

Given no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain the format of 'Spending analysis with trends and recommendations', potential error conditions, or behavioral constraints, making it inadequate for a tool that likely involves data analysis and recommendations.

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 adds that 'months' is 'Number of months to analyze (default: 6)', which provides basic semantics. However, with 0% schema description coverage and only one parameter, this minimal addition doesn't fully compensate for the lack of schema details, but it meets the baseline for a single 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 'Analyze spending trends over the past months' which provides a clear verb ('analyze') and resource ('spending trends'), but it's somewhat vague about what exactly 'analyze' entails. It doesn't distinguish from sibling tools like 'analyze_costs' or 'get_cost_analysis', leaving ambiguity about its specific 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?

No guidance is provided on when to use this tool versus alternatives like 'analyze_costs' or 'get_cost_analysis'. The description lacks context about prerequisites, appropriate scenarios, or exclusions, offering only a basic functional statement without usage differentiation.

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 mentions the tool provides analysis and recommendations, but doesn't disclose critical behavioral traits: whether this is a read-only operation, if it requires specific permissions, what format the analysis takes, or any rate limits. For an analysis tool with zero annotation coverage, this is inadequate.

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 reasonably concise with a clear purpose statement and structured return value documentation. However, the return value section is somewhat verbose and could be more efficiently integrated. It's front-loaded but includes redundant formatting.

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

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

Given the tool's moderate complexity (analysis with recommendations), no annotations, and no output schema, the description is partially complete. It covers the purpose and parameter well but lacks behavioral context and usage guidance. The return value documentation helps but doesn't fully compensate for missing operational details.

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 adds meaningful context for the single parameter: 'user_id: The user ID (UUID) or email address to analyze.' This clarifies acceptable input formats beyond what the schema provides (which has 0% coverage). Since there's only one parameter and the description fully documents it, this earns a high score.

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

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

The description clearly states the tool's purpose: 'Analyze a user's current permissions and provide recommendations.' It specifies the verb ('analyze'), resource ('user's current permissions'), and output type ('recommendations'). However, it doesn't explicitly differentiate from sibling tools like 'list_available_permissions' or 'setup_permissions', which prevents a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. With many sibling tools related to permissions and user management, this lack of differentiation 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 mentions 'smart identifier resolution' and the 'live' parameter with a default, which adds some behavioral context. However, it fails to disclose critical details such as required permissions, potential impacts on the instance (e.g., if 'live' is false, a reboot might be needed), rate limits, or error conditions, leaving significant gaps for a mutation tool.

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

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

The description is well-structured with a clear purpose statement, parameter explanations, and a return value note, all in a compact format. Every sentence adds value, but it could be slightly more front-loaded by moving the 'Args' and 'Returns' sections into a more integrated narrative for better readability.

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 this is a mutation tool with no annotations and an output schema exists (implied by 'Returns: Success confirmation'), the description does an adequate job by covering parameters and basic behavior. However, it lacks details on error handling, side effects, and integration with sibling tools, making it incomplete for safe and effective use in complex scenarios.

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 provides meaningful semantics for all three parameters: 'volume_identifier' and 'instance_identifier' are explained with examples (label/ID/hostname), and 'live' is described with its default and effect ('attach without rebooting'). This adds substantial value beyond the bare schema, though it could include more details like format 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 clearly states the verb ('Attach') and resource ('block storage volume to an instance'), making the purpose specific and understandable. However, it does not explicitly distinguish this tool from its sibling 'attach_to_instance', which appears to serve a similar function, leaving some ambiguity about 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 implies usage through the mention of 'smart identifier resolution' for volume and instance identifiers, suggesting when to use this tool for attachment operations. However, it lacks explicit guidance on when to choose this tool over alternatives like 'attach_to_instance' or 'detach', and does not mention 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'smart identifier resolution' which adds useful context about how the tool resolves identifiers, but it doesn't address important behavioral aspects like whether this is a destructive operation, what permissions are required, whether changes are reversible, or any rate limits. For a mutation tool with zero annotation coverage, this leaves significant 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 efficiently structured with a clear purpose statement followed by organized sections for Args and Returns. Every sentence serves a purpose, and there's no redundant information. The formatting makes it easy to scan and understand quickly.

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

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

Given that this is a mutation tool with no annotations, the description does a good job covering the essential aspects: purpose, parameters, and return value. The presence of an output schema means the description doesn't need to detail return values. However, it could provide more behavioral context about the mutation's implications and any constraints.

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 description coverage, the description compensates well by explaining all three parameters in the 'Args' section, clarifying what each parameter accepts (identifiers can be descriptions/labels/hostnames/IDs) and providing the default value for vpc_type. This adds meaningful semantic context beyond what the bare schema provides.

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 ('Attach') and resources involved ('VPC or VPC 2.0 to an instance'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'attach' or 'detach_from_instance', which appear to be related attachment/detachment operations.

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

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

The description provides some contextual guidance by mentioning 'smart identifier resolution' and listing acceptable identifier types (description/label/hostname/ID), which helps users understand how to use the tool. However, it doesn't specify when to use this tool versus alternatives like 'attach' or 'detach_from_instance', nor does it mention any 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 of behavioral disclosure. While 'compare' suggests a read-only operation, the description doesn't clarify whether this requires specific permissions, has rate limits, what happens with invalid plan IDs, or the format of the comparison output. For a tool with zero annotation coverage, this represents a significant gap in 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 efficiently structured with a clear purpose statement followed by Args and Returns sections. The two-sentence format is appropriately sized for this tool's complexity. However, the 'Returns' section is somewhat redundant given the existence of an output schema, which slightly reduces efficiency.

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

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

Given the tool's moderate complexity (single parameter, read operation), the description covers the basic purpose and parameter meaning. The existence of an output schema means the description doesn't need to explain return values. However, with no annotations and incomplete parameter documentation, the description should provide more behavioral context and usage guidance to be truly 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 schema provides no parameter documentation. The description adds basic semantics: 'plan_ids: List of plan IDs to compare' explains what the parameter represents. However, it doesn't specify format requirements, constraints (minimum/maximum number of plans), or where to obtain valid plan IDs. The description compensates partially but not fully for the schema coverage 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 tool's purpose: 'Compare multiple plans side by side.' This specifies the verb ('compare') and resource ('plans'), and the 'side by side' phrase adds useful context about the comparison format. However, it doesn't explicitly differentiate from sibling tools like 'get_plan' or 'list_plans', which is why it doesn't reach a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'get_plan', 'list_plans', 'search_plans_by_specs', and 'find_regions_with_plan', there's no indication of when comparison is preferred over individual retrieval or listing. The description lacks any 'when-to-use' context or prerequisites.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'configure' implies a write/mutation operation, the description doesn't specify whether this creates a new resource or modifies an existing one, what permissions are required, whether changes are reversible, or any rate limits. It mentions SSL/Auto SSL features but doesn't explain their implications or dependencies.

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 clear sections: purpose statement, parameter explanations, and return value. The 'Args' and 'Returns' sections are particularly helpful. While efficient, the opening sentence could be more specific about what 'basic' and 'standard' mean. No wasted sentences, but some opportunities for more precise language.

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 7-parameter mutation tool with no annotations and no output schema, the description provides adequate but incomplete coverage. The parameter explanations are helpful, but critical behavioral context is missing: mutation implications, error conditions, authentication requirements, and what the return value actually contains. The description mentions 'Created and configured load balancer information' but doesn't specify format or key fields.

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 description coverage for 7 parameters, the description provides meaningful semantic context for all parameters through the 'Args' section. Each parameter gets a brief explanation that clarifies its purpose (e.g., 'Region code', 'Label for the load balancer', 'Enable SSL/Auto SSL'). This significantly compensates for the lack of schema descriptions, though some details like format constraints or relationships between parameters (e.g., domain_zone/domain_sub dependency on enable_ssl) could be more explicit.

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: 'Configure a basic web load balancer with standard HTTP/HTTPS rules.' It specifies the verb ('configure'), resource ('web load balancer'), and scope ('basic' with 'standard HTTP/HTTPS rules'). However, it doesn't explicitly differentiate from sibling tools like 'create_forwarding_rule' or 'setup_web_server_rules' which might have overlapping functionality.

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. There's no mention of prerequisites, when this tool is appropriate versus other configuration methods, or what 'basic' means in contrast to more advanced options. The sibling list includes many related tools (create_forwarding_rule, setup_web_server_rules, etc.) but no differentiation is 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?

With no annotations provided, the description carries full burden. It effectively discloses key behavioral traits: the tool performs a mutation (conversion), explains the outcome (IP becomes reserved and remains attached), and clarifies the use case (preservation after instance destruction). It doesn't mention permissions, rate limits, or error conditions, but covers the essential transformation behavior well.

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?

Perfectly structured with clear sections (Args, Returns, usage explanation). Every sentence earns its place: the first states the purpose, the parameter explanations are essential, the return statement is helpful, and the usage context is valuable. 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 no annotations, 0% schema coverage, but with an output schema present, the description provides strong context. It explains the transformation purpose, parameters, and return value at a high level. It could mention potential errors or constraints, but covers the essential operation well for a mutation 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 provides meaningful context for all three parameters: 'ip_address' is what gets converted, 'instance_id' identifies the owning instance, and 'label' is optional for the new reserved IP. This adds crucial semantic understanding beyond the bare schema types.

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

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

The description clearly states the specific action ('convert') on a specific resource ('existing instance IP to a reserved IP'), distinguishing it from siblings like 'create_ipv4' or 'delete_ipv4'. It precisely defines the transformation from one IP type to another.

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?

Explicitly states when to use this tool ('when you want to keep an IP address even after destroying the instance') and provides a clear alternative scenario (keeping IP attached vs. destroying). This directly addresses the core decision point for using this tool versus 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: it's a write operation ('Create'), specifies that it returns user information including an API key under certain conditions, and outlines permission options via the ACLs list. However, it doesn't mention potential side effects, error conditions, or authentication requirements, leaving some behavioral aspects uncovered.

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 clear sections ('Args:', 'Returns:') and uses bullet points for the ACLs list, enhancing readability. It's appropriately sized for a tool with 7 parameters, though the ACLs enumeration is lengthy but necessary for completeness. Every sentence adds value, with no redundant information.

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

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

For a creation tool with 7 parameters, 0% schema coverage, no annotations, but an output schema present, the description does a strong job. It covers all parameters in detail, explains the return value, and provides context for key options like service users and permissions. The output schema existence means the description doesn't need to detail return structure, but it still mentions what's included (e.g., API key), making it largely complete for agent 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?

Given 0% schema description coverage, the description compensates fully by providing detailed semantics for all 7 parameters. It explains each parameter's purpose (e.g., 'email: User's email address'), clarifies boolean defaults indirectly through context, and enumerates available ACL permissions with descriptions, adding significant value beyond the bare 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 specific action ('Create a new user') and identifies the resource ('user'), making the purpose immediately evident. It distinguishes itself from sibling tools like 'create_user' by being a more generic 'create' tool, but the description explicitly clarifies it's for user creation, preventing confusion with other creation tools in the 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 through the parameter explanations (e.g., 'service_user: Create as service user (API-only, no portal login)'), suggesting when to set certain flags. However, it lacks explicit guidance on when to use this tool versus alternatives like 'setup_service_user' or 'setup_standard_user' from the sibling list, leaving the agent to infer context from parameter semantics 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 carries full burden but only states it 'creates' without disclosing behavioral traits. It doesn't mention permissions required, cost implications, provisioning time, idempotency, or error handling. This is inadequate for a mutation tool with zero annotation coverage.

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

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

The description is appropriately sized and front-loaded with the core purpose first, followed by parameter and return sections. Every sentence serves a purpose, though the parameter list is lengthy but necessary given the high parameter count.

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 complex creation tool with 17 parameters, no annotations, and no output schema, the description is incomplete. It lacks behavioral context, usage guidelines, and detailed parameter explanations, making it insufficient for safe and effective tool invocation.

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

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

Schema description coverage is 0%, but the description lists all 17 parameters with brief labels, adding some semantic meaning beyond the bare schema. However, it doesn't explain parameter relationships (e.g., os_id vs iso_id), constraints, or examples, leaving significant gaps.

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 resource ('bare metal server'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'create' or 'create_serverless_inference', which also create resources but different types.

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

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

No guidance is provided on when to use this tool versus alternatives like 'create' (generic) or other server creation tools. The description lacks context about prerequisites, dependencies, or typical use cases for bare metal servers.

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 full burden for behavioral disclosure. It mentions 'Upload SSL certificate' which implies a write/mutation operation, but doesn't address critical behavioral aspects like required permissions, whether this overwrites existing certificates, rate limits, or what happens on failure. The 'Returns' section mentions 'SSL certificate details' but provides no specifics about the response format.

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

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

The description is efficiently structured with a clear purpose statement upfront, followed by organized 'Args' and 'Returns' sections. Every sentence adds value with no redundant information, making it easy to scan and understand quickly.

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

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

For a mutation tool with 4 parameters, 0% schema coverage, and no output schema, the description provides adequate parameter documentation but lacks critical behavioral context. It doesn't address authentication requirements, error conditions, or what 'SSL certificate details' includes in the return. The absence of annotations increases the need for more comprehensive description.

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

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

With 0% schema description coverage, the description adds significant value by documenting all 4 parameters with clear names and format requirements (PEM format). It explains the 'zone_identifier' accepts multiple identifier types and notes 'certificate_chain' is optional. However, it doesn't provide examples or clarify what constitutes valid PEM content.

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

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

The description clearly states the specific action ('Upload SSL certificate') and target resource ('for a CDN zone'), with the 'Smart identifier resolution' clause providing important scope clarification. It distinguishes from sibling tools like 'delete_cdn_ssl_certificate' by specifying creation rather than deletion.

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

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

No explicit guidance on when to use this tool versus alternatives is provided. While the description mentions 'Smart identifier resolution' for zone identification, it doesn't specify prerequisites, when-not-to-use scenarios, or compare with related tools like 'disable_auto_ssl' or 'get_cdn_ssl_certificate'.

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 full burden but only states it 'creates' without disclosing behavioral traits. It doesn't mention whether this is an idempotent operation, what permissions are required, whether it incurs costs, what happens on failure, or any rate limits. The description is minimal beyond the basic action.

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 a clear purpose statement followed by organized parameter explanations and return value indication. It's appropriately sized for an 8-parameter tool, though the 'Args:' and 'Returns:' sections could be more integrated with the main 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 creation tool with 8 parameters and no annotations or output schema, the description provides good parameter coverage but lacks important context about the operation's behavior, side effects, and typical usage patterns. The return value is mentioned but not described, which is problematic without an output schema.

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

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

With 0% schema description coverage for 8 parameters, the description provides excellent parameter semantics by listing all parameters with brief explanations of what each controls. This fully compensates for the lack of schema documentation and gives meaningful context for each input field.

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

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

The description clearly states the action ('Create') and resource ('a new CDN zone'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'create_domain' or 'setup_cdn_for_website' beyond the obvious naming difference.

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 like 'setup_cdn_for_website' or 'update_cdn_zone'. The description lacks context about prerequisites, dependencies, or typical use cases for CDN zone creation.

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 full burden. It states the tool creates something, implying a write/mutation operation, but doesn't disclose behavioral traits like permissions needed, whether it's idempotent, rate limits, or what happens on failure. The description is minimal and lacks crucial operational 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 appropriately sized with a clear main sentence followed by structured Args and Returns sections. It's front-loaded with the core purpose, though the 'Returns' section is vague ('Created startup script details') and could be more specific.

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 2 parameters with 0% schema coverage and an output schema exists, the description does a fair job explaining parameters but lacks behavioral context (no annotations). It's minimally adequate for a creation tool but misses details on error handling, side effects, or output structure despite the output schema.

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

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

Schema description coverage is 0%, so the description must compensate. It provides meaningful semantics: 'script_type' with enumerated values ('docker_install', 'nodejs_install', 'security_updates', 'ssh_setup') and 'ssh_port' with its purpose and default for 'ssh_setup'. This adds substantial value beyond the bare schema, though it doesn't fully document all parameter details like 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 clearly states the tool creates a common startup script from templates, specifying the verb 'create' and resource 'common startup script'. It distinguishes from sibling 'create_startup_script' by specifying 'common' and 'from templates', though the distinction could be more explicit about what makes it 'common' versus the sibling.

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

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

No explicit guidance on when to use this tool versus alternatives like 'create_startup_script' or other creation tools. The description mentions script types but doesn't provide context on when each type is appropriate or prerequisites for use.

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 'Create[s] a new connection pool' which implies a write operation, but doesn't mention permissions required, side effects (e.g., resource allocation), rate limits, or what 'Created connection pool information' includes. This leaves significant gaps for a mutation tool.

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

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

The description is well-structured with a clear header and bullet points for args and returns, making it easy to scan. It's concise with no redundant information, though the 'Returns' section is vague and could be more specific to enhance clarity.

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

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

Given 6 parameters with 0% schema coverage and no output schema, the description compensates by listing parameters but lacks depth on behavior, usage, or output details. For a creation tool with no annotations, it's adequate but incomplete, missing critical context like error handling or integration with 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 description lists all 6 parameters with brief explanations (e.g., 'Pool mode (session, transaction, statement)'), adding meaningful context beyond the schema's 0% coverage. It clarifies what each parameter represents, though it could provide more detail on constraints or examples for better usability.

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 'connection pool', making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'create_logical_database' or 'create_read_replica' beyond the resource name, which prevents a perfect score.

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

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

No guidance is provided on when to use this tool versus alternatives like 'create_logical_database' or 'update_connection_pool'. The description lacks context about prerequisites, dependencies, or typical scenarios for creating a connection pool, offering minimal usage direction.

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

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

With no annotations provided, the description carries full burden but only states it 'Creates a new DNS domain' and returns 'Created domain information'. It lacks details on permissions required, rate limits, whether the operation is idempotent, what happens on conflicts, or other behavioral traits like error handling or 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 appropriately sized and front-loaded with the core purpose in the first sentence, followed by structured 'Args' and 'Returns' sections. It avoids unnecessary fluff, though the formatting with bullet-like sections is slightly verbose but still efficient.

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

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

Given the tool has an output schema (which covers return values), no annotations, and 3 parameters with 0% schema coverage, the description is moderately complete. It explains parameters well but lacks behavioral context and usage guidelines, making it adequate but with clear gaps for a creation 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 description adds significant value beyond the input schema, which has 0% description coverage. It explains the meaning of all three parameters ('domain', 'ip', 'dns_sec'), including the default for 'dns_sec' and its allowed values ('enabled/disabled'), compensating well for the schema's lack of documentation.

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 resource 'DNS domain', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'create_cdn_zone' or 'create_record', which also create DNS-related resources, so it doesn't fully distinguish from alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'create_cdn_zone' or 'create_record', nor does it mention prerequisites, exclusions, or context for usage. It only states what the tool does, not when to invoke it.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's a creation tool, implying a write operation, but doesn't mention permissions required, whether it's idempotent, error conditions, or what happens if a rule already exists. This leaves significant gaps for a mutation tool.

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

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

The description is efficiently structured: a clear purpose statement followed by a bulleted list of parameters and a brief returns statement. Every sentence adds value without redundancy, making it easy to scan and understand.

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 creation tool with 5 parameters, no annotations, and no output schema, the description is minimally adequate. It covers the purpose and parameters well but lacks behavioral context, error handling, and output details. Given the complexity, it should provide more guidance on usage and outcomes.

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 well by listing all 5 parameters with clear explanations of what each represents (e.g., 'load_balancer_id: The load balancer ID or label', 'frontend_protocol: Frontend protocol'). It adds meaningful context beyond the bare schema, though it doesn't specify format constraints like port ranges.

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

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

The description clearly states the action ('Create') and resource ('forwarding rule for a load balancer'), making the purpose unambiguous. It distinguishes from sibling tools like 'configure_basic_web_lb' or 'create_rule' by specifying the exact resource type, though it doesn't explicitly contrast with them.

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

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

No guidance is provided on when to use this tool versus alternatives like 'configure_basic_web_lb' or 'create_rule', nor does it mention prerequisites, dependencies, or typical use cases. The description assumes the user knows when forwarding rules are needed.

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 states this creates a snapshot (implying a write operation) and notes the URL must be valid, adding some context. However, it lacks details on permissions, rate limits, idempotency, or error handling, leaving behavioral gaps for a mutation tool.

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

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

The description is well-structured with clear sections (Args, Returns, Note), front-loaded purpose, and no wasted sentences. Each part adds value, making it efficient and easy to parse.

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

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

For a mutation tool with no annotations, 0% schema coverage, but an output schema, the description is moderately complete. It covers parameters and basic behavior, but lacks guidance, error details, or deeper context. The output schema handles return values, so the description doesn't need to explain those.

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 both parameters: 'url' as the snapshot URL with a validity constraint, and 'description' as optional text. This adds meaningful semantics beyond the bare schema, though it could detail URL format or length limits.

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 resource ('snapshot from a URL'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'create_iso' or 'create' that might also create resources, though the URL-based creation is unique.

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 mentions the URL must be a valid Vultr snapshot file, but doesn't specify prerequisites, when to choose this over other creation tools, or any exclusions. Usage is implied but not explicit.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Create' implies a write operation but doesn't mention permissions required, rate limits, idempotency, or error handling. This is insufficient for a mutation tool with zero annotation coverage.

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

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

The description is front-loaded with the main purpose, followed by Args and Returns sections, making it structured and efficient. However, the 'Returns' section is redundant given the output schema, slightly reducing conciseness.

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

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

For a mutation tool with no annotations and an output schema, the description covers the basic purpose and parameter but lacks details on behavioral aspects like side effects or error conditions. It's minimally adequate but has clear gaps in context.

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

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

Schema description coverage is 0%, so the description must compensate. It mentions the 'description' parameter and its purpose, but doesn't explain constraints like length or format. Since there's only one parameter, the baseline is 4, but the lack of detailed semantics reduces it to 3.

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

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

The description clearly states the action ('Create') and resource ('firewall group'), making the purpose evident. However, it doesn't differentiate from sibling tools like 'create_rule' or 'update_group', which could also involve firewall groups, so it doesn't fully distinguish 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?

No guidance is provided on when to use this tool versus alternatives like 'create_rule' or 'update_group'. The description lacks context about prerequisites, such as whether a firewall group must be unique or if there are limits, leaving usage unclear.

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 full burden. It states 'Create a new IPv4 address' implying a mutation, but lacks critical behavioral details: whether this requires admin permissions, if it's idempotent, potential side effects (e.g., network downtime), rate limits, or error conditions. The mention of reboot defaulting to True hints at impact but doesn't elaborate on consequences.

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 and front-loaded with the core purpose, followed by parameter and return sections. It's appropriately sized with no redundant sentences, though the 'Returns' line is somewhat generic and could be more specific if not for the output schema.

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

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

Given a mutation tool with no annotations, 0% schema coverage, but an output schema exists, the description is moderately complete. It covers the action and parameters well, but lacks behavioral context (permissions, side effects) and doesn't leverage the output schema to clarify return values. For a 2-parameter creation tool, it's adequate but has clear gaps in safety and operational guidance.

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

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

Schema description coverage is 0%, so the description must compensate. It provides clear semantics for both parameters: 'instance_id' as an ID, label, or hostname with examples, and 'reboot' with its default and purpose. This adds significant value beyond the bare schema, though it doesn't cover edge cases (e.g., invalid instance 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 clearly states the verb 'Create' and the resource 'IPv4 address for an instance', making the purpose specific and understandable. It distinguishes from obvious siblings like 'delete_ipv4' by focusing on creation, though it doesn't explicitly differentiate from other creation tools (e.g., 'create', 'create_record') beyond the IPv4 context.

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

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

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., instance must exist, networking permissions), exclusions, or comparisons to sibling tools like 'attach_to_instance' or 'convert_instance_ip', leaving the agent to infer usage context.

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

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

No annotations are provided, so the description carries the full burden. It states 'Create a new ISO image' implying a mutation, but lacks details on permissions, rate limits, side effects, or what 'Created ISO details' entails. This is inadequate for a mutation tool with zero annotation coverage.

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

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

The description is front-loaded with the main purpose, followed by brief Arg/Return sections. It's efficient with no wasted sentences, though the structure could be more integrated (e.g., merging the Arg/Return into the main text) for optimal flow.

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

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

Given a mutation tool with no annotations, 0% schema coverage, and an output schema (which helps), the description is moderately complete. It covers the basic action and parameter but lacks behavioral context and usage guidelines, making it adequate but with clear gaps for safe tool invocation.

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

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

Schema description coverage is 0%, but the description adds minimal value by specifying that 'url' is 'The URL to create the ISO from'. This clarifies the parameter's purpose beyond the schema, though it doesn't detail format constraints or examples. With one parameter, the baseline is 4, but the limited compensation for schema gaps reduces it to 3.

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

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

The description clearly states the action ('Create a new ISO image') and resource ('from URL'), making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'create_from_url' or 'create' which might have overlapping functionality, preventing a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools (e.g., 'create_from_url', 'create'), there's no indication of prerequisites, context, or exclusions, leaving usage ambiguous.

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 'Create a Kafka topic', implying a write/mutation operation, but doesn't disclose behavioral traits like whether this is idempotent, what happens on duplicate names, required permissions, rate limits, or typical response time. The 'Returns: Created topic information' is vague and doesn't describe format or error conditions.

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 a clear purpose statement followed by 'Args:' and 'Returns:' sections. It's appropriately sized for a 6-parameter tool. However, the 'Args:' section could be more concise by integrating explanations into a single sentence rather than a bullet-like list, and the 'Returns:' line is overly vague.

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 6 parameters with 0% schema coverage and no output schema, the description does a fair job by listing all parameters and stating a return. However, it lacks details on constraints, defaults, error handling, and the structure of returned 'topic information'. For a mutation tool with no annotations, this leaves significant gaps in understanding how to use it effectively.

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

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

Schema description coverage is 0%, so the description must compensate. It lists all 6 parameters with brief explanations (e.g., 'Topic name', 'Number of partitions'), adding meaningful semantics beyond the bare schema. However, it doesn't explain constraints (e.g., valid name patterns, partition/replication limits, retention unit details), and defaults are only in the schema, not mentioned in the 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 clearly states the verb 'Create' and the resource 'Kafka topic', with the clarifying scope '(Kafka databases only)'. It distinguishes from siblings like 'create_logical_database' or 'create_record' by specifying the Kafka context. However, it doesn't explicitly differentiate from 'update_kafka_topic' or 'delete_kafka_topic' in the description text.

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 minimal usage guidance with '(Kafka databases only)', which indicates a prerequisite context. However, it doesn't specify when to use this tool versus alternatives like 'update_kafka_topic' or 'delete_kafka_topic', nor does it mention any preconditions (e.g., database must exist, permissions required). No explicit when-not-to-use guidance is 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a cluster but omits critical behavioral details: whether this is a long-running operation, what permissions are required, if it incurs costs, whether it's idempotent, or what happens on failure. The description adds minimal context beyond the basic action.

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 clear sections (Args, Returns) and uses bullet points for complex nested parameters, making it easy to parse. It's appropriately sized for a tool with 6 parameters, though the 'Returns' section is somewhat vague ('Created cluster information') and could be more specific.

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 creation tool with no annotations and no output schema, the description does a good job with parameter semantics but falls short on behavioral context. It doesn't explain what 'Created cluster information' includes, doesn't mention error conditions or timeouts, and omits important operational details like whether the cluster starts automatically or requires additional setup steps.

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?

Given 0% schema description coverage, the description compensates fully by providing detailed semantic explanations for all 6 parameters. It clarifies what each parameter represents (e.g., 'region code (e.g., 'ewr', 'lax')'), provides usage guidance ('use get_kubernetes_versions for available options'), and documents nested structure for 'node_pools' with sub-parameter details and recommendations ('minimum 1, recommended 3+').

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

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

The description clearly states the specific action ('Create a new Kubernetes cluster') and identifies the resource ('Kubernetes cluster'), making the purpose immediately evident. It distinguishes itself from sibling tools like 'create_kubernetes_node_pool' or 'update_kubernetes_cluster' by focusing on initial cluster creation rather than modification or component addition.

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 some implied usage guidance by referencing 'get_kubernetes_versions' for available options, suggesting when to gather prerequisite information. However, it lacks explicit guidance on when to use this tool versus alternatives like 'setup_kubernetes_cluster_for_workload' or 'create_kubernetes_node_pool', and does not mention prerequisites such as account permissions or cost implications.

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 full burden for behavioral disclosure. It mentions 'Create' which implies a write/mutation operation, but doesn't address critical behavioral aspects like required permissions, whether this is idempotent, rate limits, costs, or what happens if the cluster doesn't exist. The description adds minimal behavioral context beyond the basic action.

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 clear sections (purpose statement, parameter details, return statement) and every sentence adds value. It could be slightly more concise by integrating the 'Smart identifier resolution' note into the parameter section, but overall it's efficiently organized.

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 creation tool with 9 parameters, no annotations, and no output schema, the description provides good parameter documentation but lacks important contextual information. It doesn't explain error conditions, authentication requirements, or what the 'Created node pool information' return value contains. The description is adequate but has clear gaps for a complex mutation 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?

With 0% schema description coverage and 9 parameters (4 required), the description provides excellent parameter semantics. It clearly explains each parameter's purpose, provides examples ('vc2-2c-4gb'), specifies constraints ('minimum 1, recommended 3+'), and clarifies optional vs. required parameters. This fully compensates for the lack of schema 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 specific action ('Create a new node pool') and resource ('in a Kubernetes cluster'), distinguishing it from sibling tools like 'create_kubernetes_cluster' or 'scale_kubernetes_node_pool'. It provides precise verb+resource+scope 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 includes 'Smart identifier resolution: use cluster label or UUID' which provides some context for parameter usage, but it doesn't explicitly state when to use this tool versus alternatives like 'update_kubernetes_node_pool' or 'delete_kubernetes_node_pool'. Usage is implied rather than explicitly guided.

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

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

No annotations are provided, so the description carries the full burden. It states it's a creation tool, implying mutation, but doesn't disclose behavioral traits like required permissions, whether the operation is idempotent, rate limits, or what happens on failure. This leaves significant gaps for a mutation tool.

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

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

The description is appropriately sized and front-loaded, with the core purpose stated first, followed by parameter and return sections. It avoids unnecessary verbosity, though the parameter explanations could be more detailed given the low schema coverage.

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

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

Given the complexity of a creation tool with no annotations, 0% schema description coverage, and no output schema, the description is incomplete. It lacks information on behavioral aspects, error handling, and detailed parameter usage, making it inadequate for safe and effective tool invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It lists the two parameters with brief explanations ('database_id: The database ID or label', 'name: Name for the new logical database'), adding basic meaning beyond the schema's type definitions. However, it doesn't provide details like format constraints or examples, leaving room for improvement.

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 resource ('new logical database within a managed database instance'), making the purpose specific and understandable. However, it doesn't explicitly distinguish this tool from sibling tools like 'create_database' or 'create' that might exist in the list, though those aren't exact matches.

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, prerequisites, or exclusions. It lacks any context about when this creation is appropriate compared to other database-related tools in the sibling list.

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 the tool creates a read replica, implying a write/mutation operation, but does not disclose critical traits such as permissions required, whether it's idempotent, rate limits, costs, or what happens if the source database is unavailable. The description adds minimal behavioral context beyond the basic action.

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 and appropriately sized, with a clear purpose statement followed by 'Args' and 'Returns' sections. It avoids unnecessary details and is front-loaded with the main action. However, the 'Args' section could be more integrated into the flow, and some redundancy exists (e.g., repeating parameter names without added value), but overall it is efficient.

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

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

Given the complexity (a mutation tool with 4 required parameters), no annotations, and no output schema, the description is moderately complete. It covers the purpose and parameters at a high level but lacks details on behavioral traits, error handling, and output specifics. The 'Returns' section is vague ('Information about the created read replica'), which is insufficient without an output schema. It meets minimum viability but has clear gaps.

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

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

Schema description coverage is 0%, so the schema provides no parameter descriptions. The description lists the parameters in an 'Args' section with brief labels (e.g., 'database_id: The source database ID or label'), adding basic semantics beyond the schema. However, it does not explain formats, constraints, or examples (e.g., valid regions or plans), leaving significant gaps. With 0% coverage, the description compensates partially but not fully.

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: 'Create a read replica of a database.' It specifies the verb ('Create') and resource ('read replica of a database'), making the action explicit. However, it does not differentiate from sibling tools like 'fork_database' or 'create_logical_database', which might have overlapping or related functionality, so it lacks 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing an existing database), exclusions, or comparisons to siblings like 'fork_database' or 'create_logical_database'. Usage is implied only by the tool's name and purpose, with no explicit context.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it correctly identifies this as a creation operation, it doesn't mention authentication requirements, rate limits, error conditions, whether the operation is idempotent, or what happens if a duplicate record is attempted. For a mutation tool with zero annotation coverage, this represents significant 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 well-structured with clear sections for the main purpose, arguments, and returns. While efficient, the 'Args:' and 'Returns:' headings could be more concise, and the parameter explanations could be slightly more compact while maintaining clarity.

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

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

Given the tool's complexity (6 parameters, mutation operation) and absence of annotations, the description does well by documenting all parameters and mentioning the return value. However, it lacks behavioral context about permissions, side effects, and error handling. The presence of an output schema helps, but more operational guidance would improve completeness.

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

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

With 0% schema description coverage for 6 parameters, the description fully compensates by providing clear documentation for all parameters. It explains each parameter's purpose, provides examples for record_type, clarifies priority's specific use cases, and documents the default value for ttl. This adds substantial value beyond the bare 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 specific action ('Create a new DNS record') and resource ('DNS record'), distinguishing it from sibling tools like 'create_domain' or 'update_record'. It uses precise technical terminology that leaves no ambiguity about what the tool does.

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

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

The description provides no guidance on when to use this tool versus alternatives. While sibling tools include 'create_domain', 'delete_record', 'update_record', and 'list_records', there's no mention of prerequisites, dependencies, or appropriate contexts for DNS record creation versus other DNS 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?

With no annotations provided, the description carries the full burden. It discloses that this is a creation/mutation tool ('Create a new firewall rule') and provides parameter constraints (e.g., port required for certain protocols), but lacks critical behavioral details like required permissions, whether the rule takes effect immediately, rate limits, or error conditions.

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 clear sections (Args, Returns, Examples) and front-loaded purpose. While comprehensive, some details in the parameter explanations could be more concise, but overall it avoids unnecessary verbosity.

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 creation tool with 8 parameters, 0% schema coverage, no annotations, but with an output schema, the description does well by thoroughly documenting parameters and providing examples. However, it lacks behavioral context (permissions, side effects) that would be important for a mutation tool, keeping it from a perfect 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?

Given 0% schema description coverage, the description fully compensates by explaining all 8 parameters with clear semantics, examples, and constraints (e.g., 'subnet_size: Subnet size (0-32 for IPv4, 0-128 for IPv6)', 'port: Port or port range... - required for tcp/udp'). This adds significant value beyond the bare 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 specific action ('Create a new firewall rule') and identifies the resource ('firewall rule'). It distinguishes from sibling tools like 'delete_rule', 'get_firewall_rule', and 'list_firewall_rules' by specifying creation rather than retrieval or deletion.

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 through parameter documentation (e.g., 'required for tcp/udp') and examples showing specific scenarios, but lacks explicit guidance on when to use this tool versus alternatives like 'setup_web_server_rules' or 'delete_rule'. No prerequisites or exclusions are mentioned.

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

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

No annotations are provided, so the description must fully disclose behavioral traits. It states the tool creates a subscription and returns details like ID and API key, but doesn't cover critical aspects: whether this is a mutating operation (implied by 'Create'), authentication requirements, rate limits, costs, or side effects (e.g., if it provisions resources or affects billing). The description adds minimal behavioral context beyond the basic action.

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 and appropriately sized, with a clear purpose statement followed by 'Args' and 'Returns' sections. It avoids unnecessary details and front-loads the main action. Every sentence adds value, though the 'Returns' section could be slightly more concise by integrating with the purpose 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?

Given the complexity of creating a serverless inference subscription (a mutating operation with potential costs and resource implications), the description is incomplete. No annotations are provided to cover safety or behavioral traits, and there's no output schema, so the description doesn't explain return values beyond a brief mention. It lacks context on permissions, errors, or integration with sibling tools, making it inadequate for informed tool selection.

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

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

The description adds some meaning for the single parameter 'label', explaining it's 'a descriptive label for the inference subscription' with examples like 'production-chatbot'. However, schema description coverage is 0%, and the description doesn't fully compensate by detailing constraints (e.g., length, allowed characters) or optional parameters. With one parameter and partial semantic enhancement, it meets the baseline for moderate schema coverage.

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

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

The description clearly states the tool's purpose: 'Create a new serverless inference subscription.' It specifies the verb ('Create') and resource ('serverless inference subscription'), making the action explicit. However, it doesn't distinguish this from sibling tools like 'create' or 'create_bare_metal_server', which are also creation tools but for different resources.

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 doesn't mention prerequisites (e.g., needing an account or specific permissions), exclusions (e.g., when not to create a subscription), or comparisons with sibling tools like 'update_serverless_inference' or 'delete_serverless_inference'. Usage is implied only by the tool name and description, lacking explicit context.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a creation operation but doesn't mention permissions required, whether the script becomes active immediately, what happens on duplicate names, or any rate limits. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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

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

The description is well-structured with clear sections for Args and Returns. It's appropriately sized with no redundant information. However, the 'Returns' section could be more specific given that an output schema exists, making that part slightly less 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 creation tool with 3 parameters, 0% schema coverage, no annotations, but with an output schema, the description provides basic information but lacks important context. It covers what the tool does and lists parameters, but doesn't address behavioral aspects like permissions, side effects, or error conditions that would be crucial for safe 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 description lists all three parameters with brief explanations, but with 0% schema description coverage, it doesn't fully compensate. It mentions 'script_type' can be 'boot' or 'pxe' which adds value, but doesn't explain format requirements for 'script' content, naming constraints for 'name', or the implications of the 'boot' default value. The description adds some semantic context but leaves gaps.

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 startup script, specifying the action and resource. It distinguishes from siblings like 'create_common_startup_script' by not mentioning 'common' and from 'update_startup_script' by specifying 'new'. However, it doesn't explicitly differentiate from all sibling tools with similar naming patterns.

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

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

No guidance is provided on when to use this tool versus alternatives. There's no mention of prerequisites, when not to use it, or comparisons with sibling tools like 'create_common_startup_script' or 'update_startup_script'. The description only states what the tool does, not when to use it.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Create' implies a mutation, it lacks details on permissions required, whether the operation is idempotent, potential side effects (e.g., if username exists), or error handling. The description mentions returns but gives no behavioral context, leaving significant gaps for a mutation tool.

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

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

The description is well-structured with clear sections ('Args', 'Returns') and front-loaded purpose. It avoids unnecessary fluff, though the encryption and access-level examples could be more concise. Every sentence adds value, making it efficient for an agent to parse.

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

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

Given the complexity (mutation tool with 5 parameters, no annotations, no output schema), the description is partially complete. It covers parameters well but lacks behavioral context (e.g., permissions, errors) and output details (only mentions 'Created user information' vaguely). For a user-creation tool, this leaves the agent with insufficient guidance on execution and results.

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

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

With 0% schema description coverage, the description compensates by explaining all 5 parameters in the 'Args' section, adding meaning beyond the bare schema. It clarifies 'database_id' as 'ID or label', notes auto-generation for 'password', and provides examples for 'encryption' and 'access_level' values, which is helpful despite some ambiguity (e.g., unclear if examples are 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 specific action ('Create a new database user') and identifies the resource ('database user'), making the purpose immediately evident. It distinguishes from siblings like 'delete_user' (for removal) and 'update_user' (for modifications), establishing a clear functional boundary.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing database access), exclusions (e.g., when not to create users), or compare with sibling tools like 'setup_service_user' or 'setup_standard_user', leaving the agent without contextual usage direction.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool creates a VPC 2.0 network but does not mention critical behavioral aspects like whether this is a destructive operation (likely not, as it creates), authentication requirements, rate limits, or potential side effects. The description adds minimal context beyond the basic action, leaving significant gaps in understanding the tool's behavior.

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

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

The description is well-structured with a clear purpose statement followed by 'Args' and 'Returns' sections, making it easy to parse. It is appropriately sized with no redundant information, though the 'Returns' section could be slightly more detailed. Every sentence earns its place by providing essential information, but minor verbosity in formatting slightly reduces efficiency.

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 (5 parameters, creation operation), no annotations, and an output schema present (implied by 'Returns' section), the description is reasonably complete. It covers the purpose, parameters, and return values adequately. However, it lacks context on usage guidelines and behavioral traits, which are important for a creation tool, preventing a perfect 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?

Schema description coverage is 0%, meaning the input schema provides no descriptions for parameters. The description compensates fully by detailing each parameter's purpose, including examples (e.g., 'ewr' for region, 'v4' for ip_type) and defaults (e.g., ip_type defaults to 'v4', ip_block defaults to auto-assigned). This adds substantial meaning beyond the bare schema, making parameter usage clear and actionable.

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

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

The description clearly states the specific action ('Create a new VPC 2.0 network') and resource ('VPC 2.0'), distinguishing it from sibling tools like 'get_vpc2', 'list_vpc2', 'update_vpc2', and 'delete_vpc2' by its creation function. It precisely communicates what the tool does without being vague or tautological.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as required permissions or account status, nor does it differentiate from similar tools like 'create' or 'create_network_info' in the sibling list. Usage context is implied only by the tool name and description, with no explicit when/when-not statements.

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. While it correctly indicates this is a destructive operation ('Delete'), it fails to mention critical behavioral aspects such as whether deletion is permanent, requires admin permissions, affects associated resources, or has rate limits. This is a significant gap for a destructive 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 and concise, with a clear purpose statement followed by brief sections for arguments and returns. Every sentence serves a functional purpose, though the 'Args' and 'Returns' labels could be slightly more integrated into the flow.

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

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

For a destructive tool with no annotations, 0% schema description coverage, and no output schema (though 'Returns' is mentioned), the description is incomplete. It lacks essential context about safety, permissions, side effects, and error handling, making it inadequate for reliable agent use despite its conciseness.

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 adds minimal semantic value beyond the input schema. It specifies that 'user_id' can be a UUID or email address, which isn't captured in the schema (0% coverage), but this is a basic clarification. With only one parameter and low schema coverage, the description doesn't fully compensate by explaining format constraints 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?

The description clearly states the tool's purpose with a specific verb ('Delete') and resource ('a user'), making it immediately understandable. However, it doesn't distinguish this from the sibling 'delete_user' tool, which appears to serve a similar function, preventing a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'delete_user' or other deletion tools in the sibling list. It lacks context about prerequisites, permissions needed, or any 'when-not-to-use' warnings, leaving the agent with insufficient usage direction.

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

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

No annotations are provided, so the description carries the full burden. It states the action ('Delete') and mentions 'smart identifier resolution' for inputs, but fails to disclose critical behavioral traits such as whether deletion is irreversible, requires confirmation, has dependencies, or affects billing. 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 front-loaded with the core purpose, followed by specific details in a structured format (Args, Returns). Every sentence adds value without redundancy, making it efficient and easy to parse.

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

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

For a destructive tool with no annotations and no output schema, the description is incomplete. It lacks information on consequences, error conditions, permissions needed, or what the 'Success message' entails. Given the complexity and risk of deletion, more behavioral context is required.

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 description coverage and only one parameter, the description compensates well by explaining that 'server_identifier' accepts 'server label, hostname, or UUID', adding meaningful context beyond the basic string type in the schema. However, it doesn't detail format constraints or examples.

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 ('Delete') and resource ('a bare metal server'), making the purpose unambiguous. It distinguishes from siblings like 'delete' (generic) and 'delete_bare_metal_server' (specific), though it doesn't explicitly contrast with other deletion tools like 'delete_kubernetes_cluster'.

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

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

No guidance is provided on when to use this tool versus alternatives. While sibling tools include other deletion tools (e.g., 'delete_kubernetes_cluster'), the description doesn't specify prerequisites, conditions, or exclusions for use, leaving the agent to infer context.

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

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

No annotations are provided, so the description carries the full burden. It mentions 'Smart identifier resolution' which adds useful context about input flexibility, but fails to disclose critical behavioral traits such as whether this operation is destructive, irreversible, requires specific permissions, or has side effects. For a deletion tool with zero 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 front-loaded with the core purpose, followed by brief but informative sections for Args and Returns. Every sentence earns its place with no wasted words, making it highly efficient and well-structured.

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

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

Given a deletion tool with no annotations, 0% schema coverage, and no output schema, the description is moderately complete. It covers the purpose and parameter semantics well but lacks behavioral transparency and detailed usage guidelines, leaving gaps in understanding the tool's full context and implications.

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 description coverage and only 1 parameter, the description adds substantial value by explaining that 'zone_identifier' accepts 'origin domain, CDN domain, or UUID'. This clarifies the parameter's semantics beyond the basic schema type, though it doesn't detail format constraints or examples.

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

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

The description clearly states the specific action ('Remove SSL certificate') and resource ('from a CDN zone'), distinguishing it from siblings like 'delete_cdn_zone' or 'delete_ssl'. It precisely defines what the tool does without being vague or tautological.

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 removing SSL certificates from CDN zones but doesn't explicitly state when to use this tool versus alternatives like 'disable_auto_ssl' or 'delete_ssl'. It provides some context through 'Smart identifier resolution' but lacks explicit when/when-not guidance or named 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action is 'Delete' and mentions 'Success message' as a return, but fails to disclose critical traits like whether deletion is irreversible, requires specific permissions, has side effects on related resources, or involves rate limits. 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 front-loaded with the core purpose, followed by structured sections for Args and Returns, making it efficient and easy to parse. Every sentence adds value without redundancy. A slight improvement could be integrating the smart resolution note more seamlessly, but overall it's well-structured.

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

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

Given the tool's destructive nature, no annotations, no output schema, and a single parameter with low schema coverage, the description is incomplete. It lacks details on behavioral risks, error conditions, or what 'Success message' entails, which are crucial for safe invocation. More context is needed to adequately guide an agent.

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

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

The schema has 0% description coverage for its single parameter, but the description compensates by explaining 'zone_identifier' as 'The CDN zone origin domain, CDN domain, or ID to delete' and adds 'Smart identifier resolution' context. This provides meaningful semantics beyond the bare schema, though it could detail format constraints or examples for higher clarity.

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 ('Delete') and resource ('a CDN zone'), making the purpose unambiguous. It distinguishes from siblings like 'purge_cdn_zone' by focusing on deletion rather than cache purging. However, it doesn't explicitly contrast with other deletion tools like 'delete_domain' or 'delete_record', keeping it from a perfect score.

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

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

The description implies usage through 'Smart identifier resolution' for the zone_identifier, suggesting when to use this tool based on available identifiers. However, it lacks explicit guidance on when to choose this over alternatives like 'purge_cdn_zone' or prerequisites such as confirmation steps, leaving room for improvement.

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 this is a deletion operation, implying it's destructive and irreversible, but doesn't specify required permissions, side effects (e.g., impact on connected applications), error conditions, or confirmation prompts. This leaves significant gaps for a mutation tool.

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

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

The description is appropriately sized and front-loaded with the core action. The 'Args' and 'Returns' sections add structure, though they could be integrated more seamlessly. Every sentence serves a purpose with minimal 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 this is a destructive mutation tool with no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks critical details like error handling, return value structure beyond 'status message', safety warnings, or dependencies, making it inadequate for safe and effective use by an agent.

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%, so the description must compensate. It adds meaningful context by explaining that 'database_id' can be an ID or label and 'pool_name' is the specific pool to delete, which clarifies beyond the bare schema. However, it doesn't cover format examples or constraints (e.g., length, allowed characters).

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 ('Delete') and resource ('a connection pool'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'delete_logical_database' or 'delete_record', which also delete resources but different types.

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. There's no mention of prerequisites (e.g., needing an existing connection pool), exclusions, or comparisons to sibling tools like 'update_connection_pool' or 'list_connection_pools' for related 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool deletes a domain and all its records, implying a destructive, irreversible action, but lacks details on permissions required, rate limits, error conditions, or confirmation prompts. This is inadequate for a high-stakes mutation tool.

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

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

The description is front-loaded with the core action in the first sentence, followed by brief Arg/Return sections. It avoids redundancy and wastes no words, though the structure is slightly informal with 'Args'/'Returns' labels instead of integrated prose.

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 destructive nature, lack of annotations, and presence of an output schema (which covers return values), the description is minimally adequate but incomplete. It explains what the tool does and the parameter but omits critical behavioral details like safety warnings or usage context, leaving gaps for the agent.

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 adds meaningful context for the single parameter 'domain' by specifying it as 'The domain name to delete', which clarifies its purpose beyond the schema's basic string type. With 0% schema description coverage and only one parameter, this compensation is sufficient, though not exhaustive (e.g., no format examples).

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

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

The description clearly states the action ('Delete') and resource ('a DNS domain and all its records'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'delete_record' or 'delete_cdn_zone', which reduces clarity about when to choose this specific deletion tool.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'delete_record' or 'delete_cdn_zone', nor does it mention prerequisites, consequences, or appropriate contexts. The agent must infer usage from the name and description alone without explicit direction.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Smart identifier resolution' for gateway identification, which adds some context, but fails to cover critical aspects like permissions needed, whether deletion is permanent or reversible, rate limits, or error handling. The mention of 'Success confirmation' hints at the return but is vague.

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 and front-loaded with the core purpose, followed by parameter details and return information. Every sentence adds value without redundancy, making it efficient and easy to parse.

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

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

Given the complexity of a destructive operation with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., permanence, auth needs), error cases, and the exact format of the success confirmation. For a delete tool, this gap is significant.

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%, so the description must compensate. It effectively explains both parameters: 'gateway_identifier' as 'Gateway label or ID' with smart resolution, and 'export_id' as 'Export ID to delete'. This adds clear meaning beyond the bare schema, though it could benefit from examples or format details.

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

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

The description clearly states the action ('Delete') and resource ('export from a storage gateway'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'delete' or other delete_* tools, which would require a 5.

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

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

The description provides no guidance on when to use this tool versus alternatives, such as other delete operations or related tools like 'add_export'. It lacks context about prerequisites, consequences, or typical scenarios for deletion.

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 tool deletes a forwarding rule, implying a destructive mutation, but does not disclose critical behavioral traits like required permissions, whether the deletion is irreversible, potential side effects (e.g., impact on traffic routing), or error handling. This leaves significant gaps for safe and effective use.

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 and front-loaded with the core purpose, followed by clear sections for arguments and returns. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

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

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

Given the tool's complexity as a destructive operation with no annotations and no output schema, the description is moderately complete. It covers the basic purpose and parameters but lacks details on behavioral aspects, error cases, and the full implications of deletion, which are crucial for safe operation in a production environment.

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 adds meaningful context beyond the input schema, which has 0% description coverage. It clarifies that 'load_balancer_id' can be a label or UUID with examples ('web-lb', 'api-load-balancer'), and 'forwarding_rule_id' is the rule ID, compensating for the schema's lack of details. However, it does not fully explain parameter formats or constraints beyond basic examples.

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

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

The description clearly states the action ('Delete') and target resource ('a forwarding rule from a load balancer'), providing specific verb+resource pairing. However, it does not explicitly differentiate from sibling tools like 'delete_rule' or 'delete_record', which might handle different resource types, leaving some ambiguity about uniqueness.

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 when to delete a forwarding rule compared to modifying it or using other deletion tools for different resources. It lacks context about prerequisites, dependencies, or typical scenarios for invocation.

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 tool deletes a firewall group but doesn't disclose critical behavioral traits like whether deletion is permanent, requires specific permissions, has side effects (e.g., removing associated rules), or any rate limits. 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 appropriately sized and front-loaded: the first sentence states the purpose, followed by structured sections for Args and Returns. However, the 'Returns' section could be integrated more seamlessly, and some redundancy exists (e.g., 'Args' label).

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 (destructive operation), lack of annotations, and presence of an output schema (which handles return values), the description is minimally adequate. It covers the purpose and parameter semantics but misses key behavioral details like safety warnings or prerequisites, leaving gaps for informed 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 description adds meaningful semantics beyond the schema: it explains that 'firewall_group_id' can be either an ID or a description (e.g., 'web-servers' or UUID), which clarifies the parameter's usage. With 0% schema description coverage and only one parameter, this adequately 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?

The description clearly states the action ('Delete') and resource ('a firewall group'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling deletion tools like 'delete_rule' or 'delete_group' (if 'create_group' exists), though the resource type is implied.

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

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

No guidance is provided on when to use this tool versus alternatives. The description lacks context about prerequisites (e.g., whether the group must be empty), exclusions, or comparisons to other deletion tools in the sibling list.

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 mentions the destructive action ('Delete') but doesn't specify whether this requires special permissions, if the deletion is reversible, what happens to network connectivity during/after deletion, or any rate limits. For a mutation tool with zero annotation coverage, this is insufficient.

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

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

The description is well-structured with a clear purpose statement followed by Args and Returns sections. It's front-loaded with the core action and avoids unnecessary fluff. The only minor inefficiency is repeating 'delete' in the purpose and returns, but overall it's appropriately sized.

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

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

For a destructive mutation tool with no annotations, the description covers the basic purpose and parameters adequately, and the output schema exists (so return values are documented elsewhere). However, it lacks critical behavioral context like permissions, reversibility, and side effects, which is a significant gap for a deletion operation.

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

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

The schema description coverage is 0%, but the description compensates by clearly explaining both parameters: 'instance_id' accepts ID, label, or hostname with examples, and 'ipv4' specifies the address to delete. This adds meaningful context beyond the bare schema, though it doesn't cover validation rules (e.g., IPv4 format).

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

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

The description clearly states the specific action ('Delete an IPv4 address') and the target resource ('from an instance'), which distinguishes it from sibling tools like 'delete' (general deletion) or 'delete_record' (DNS record deletion). The verb+resource combination is precise and unambiguous.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'convert_instance_ip' or 'detach_from_instance', nor does it mention prerequisites (e.g., the instance must be running, the IP must be assigned). It only states what the tool does, not when it's 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?

No annotations are provided, so the description carries full burden. It states 'Delete' implying a destructive mutation, but doesn't disclose critical behavioral traits: whether deletion is permanent/reversible, if it requires specific permissions, rate limits, or error conditions. The mention of a 'Success message' return is 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 appropriately brief and front-loaded with the core purpose. The Args/Returns sections are structured but minimal. No wasted sentences, though the 'Returns' line adds little value beyond what might be inferred.

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

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

For a destructive tool with no annotations, 0% schema coverage, but an output schema (implied by 'Has output schema: true'), the description is moderately complete. It covers the basic action and parameter meaning but lacks critical context: no warnings, no prerequisites, no error handling, and minimal behavioral disclosure. The output schema may document the return structure, reducing the burden slightly.

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 schema provides no parameter documentation. The description adds basic semantics for 'iso_id' ('The ISO ID to delete'), explaining what the parameter represents. However, it doesn't specify format, constraints, or where to obtain the ID (e.g., from 'get_iso' or 'list_isos'), leaving gaps.

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

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

The description clearly states the action ('Delete') and resource ('an ISO image'), making the purpose immediately understandable. However, it doesn't differentiate from sibling deletion tools (like delete_bare_metal_server, delete_domain, etc.) beyond specifying the resource type.

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. The description doesn't mention prerequisites (e.g., whether the ISO must be unattached), consequences, or when not to use it. Sibling tools like 'delete' (generic) and 'get_iso' exist, but no comparison is made.

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 this is a deletion operation but doesn't mention whether it's irreversible, requires specific permissions, has side effects (e.g., data loss), or any rate limits. The return value is mentioned but not detailed.

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 clear sections (Args, Returns) and uses minimal sentences. The first sentence directly states the purpose, and subsequent lines efficiently document parameters and return value without unnecessary elaboration.

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

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

For a destructive tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks critical information about safety (irreversibility), permissions, error conditions, and detailed return format, which are essential for an agent to use this tool correctly.

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

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

Schema description coverage is 0%, so the schema provides no parameter documentation. The description adds basic semantics by explaining 'database_id' as 'The Kafka database ID or label' and 'topic_name' as 'The topic name to delete', which clarifies what each parameter represents. However, it doesn't provide format examples, constraints, 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?

The description clearly states the verb ('Delete') and resource ('Kafka topic'), making the purpose unambiguous. However, it doesn't differentiate from sibling deletion tools like 'delete_domain' or 'delete_record', which follow the same pattern for different resources.

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

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

No guidance is provided on when to use this tool versus alternatives. While there's a sibling 'create_kafka_topic' and 'update_kafka_topic', the description doesn't mention prerequisites, dependencies, or when deletion is appropriate versus other 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions 'Smart identifier resolution' (accepting label or UUID), it doesn't describe critical behavioral aspects: whether deletion is permanent/reversible, what permissions are required, whether associated resources are also deleted, or what happens to running workloads. For a destructive operation with zero annotation coverage, this is insufficient.

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

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

The description is efficiently structured with a clear purpose statement followed by Args and Returns sections. All sentences earn their place, though the 'Smart identifier resolution' note could be more integrated with the parameter description rather than as a separate introductory sentence.

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

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

For a destructive deletion tool with no annotations and no output schema, the description is incomplete. It doesn't address critical context like irreversible consequences, required permissions, error conditions, or what the 'Deletion status message' actually contains. The presence of a sibling deletion tool with different behavior further highlights the incompleteness.

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

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

The schema has 0% description coverage for its single parameter, but the description compensates well by explaining that 'cluster_identifier' accepts either 'cluster label or UUID' and provides the 'Smart identifier resolution' context. This adds meaningful semantic information beyond the bare schema type definition.

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 'Delete' and resource 'Kubernetes cluster', making the purpose specific and understandable. However, it doesn't explicitly distinguish this tool from its sibling 'delete_kubernetes_cluster_with_resources', which appears to be a similar deletion tool with different behavior.

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. There's no mention of prerequisites, consequences, or comparison with the sibling 'delete_kubernetes_cluster_with_resources' tool, leaving the agent with no usage context beyond the basic purpose.

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