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

No annotations exist, so the description carries the full burden. It describes the analysis and identification of misconfigurations, which implies a read-only operation, but it does not explicitly state that the tool is non-destructive or mention required permissions (e.g., Reader role). The description adds context about security risks (WAF bypass, MitM) but lacks a clear safety disclaimer.

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

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

The description is a single, well-structured paragraph that front-loads the tool's purpose. Each sentence adds specific value (lists checks, states security implications). No redundant or filler words. Appropriate length for the tool's scope.

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 security analyzer, the description covers the main functionality (WAF checks, SSL, routing rules) and identifies misconfigurations. Schema provides full parameter coverage. No output schema exists, so lack of return value description is acceptable. However, adding a sample report format or noting that results are presented in the specified 'format' would increase 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?

Input schema has 100% coverage with descriptions for all 3 parameters (subscriptionId, resourceGroup, format). The description does not add additional meaning beyond the schema, so it meets the baseline. No deeper parameter context (e.g., behavior when resourceGroup omitted) is provided.

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 specifically states it analyzes Azure Application Gateway and WAF security configuration, listing concrete checks like WAF mode, OWASP rule set, SSL/TLS policy, etc. This distinguishes it clearly from sibling tools that focus on other Azure services (e.g., app service, NSG rules). The verb 'analyze' and resource 'Application Gateway' are clear.

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 security auditing but does not explicitly state when to use this tool versus alternatives like azure_analyze_nsg_rules or azure_analyze_keyvault_security. No when-not-to-use guidance or prerequisites are mentioned, leaving the agent to infer from 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, the description must disclose behavioral traits. It lists what it checks but does not clarify if it is read-only, required permissions, or if it produces a report. The word 'analysis' 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 a single sentence with no wasted words, but the list of checks could be structured (e.g., bullets) for readability. 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?

Missing output schema and annotations; the description only lists aspects checked but does not explain what the tool returns or its behavioral impact. Lacks completeness for a security analysis 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 coverage is 100% and description adds no extra meaning beyond schema for the three parameters (subscriptionId, resourceGroup, format). Baseline score applies.

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

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

The tool name and description clearly state it analyzes security of App Service, listing specific security aspects (HTTPS-only, TLS, authentication, etc.). This distinguishes it from sibling tools focused on other Azure 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 implies use for App Service security analysis but does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or usage context (e.g., when to prefer it over other analysis tools).

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

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

The description discloses that the tool returns exploitation scenarios with step-by-step chains, but does not explicitly state read-only nature, rate limits, or authorization requirements. Annotations are empty, so description carries the burden; it adds some behavioral context but could be more explicit about safety.

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

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

The description is concise, front-loaded with purpose, and every sentence adds value. No unnecessary 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?

Despite no output schema, the description explains the tool returns exploitation scenarios with step-by-step chains, which is sufficient for an analysis tool. It covers the types of attack paths analyzed. Missing guidance on output structure but adequate given complexity.

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

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

Schema coverage is 100%, so the schema already documents all parameters. The description adds overall context but does not enhance individual parameter understanding beyond what the schema provides. Baseline 3 is appropriate.

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

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

The description clearly states the tool identifies and maps attack paths from public exposure to sensitive resources, listing specific analysis types (privilege escalation, lateral movement, etc.). This distinguishes it from sibling tools that analyze individual resources or configurations.

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

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

No guidance on when to use this tool versus alternatives. Siblings include many analysis tools for specific Azure components, but the description does not mention scenarios where attack path analysis is preferred or when to use other tools.

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

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

Annotations are empty, so the description carries the burden. It discloses what checks are performed and the return values, but does not mention whether the tool is read-only, required permissions, rate limits, or side effects. The version note ('NEW in v1.14.0') is a minor behavioral hint.

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

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

The description is a single paragraph, front-loaded with a version note and purpose. It is fairly concise and covers key aspects, though it could be broken into clearer sentences for 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 5 parameters, no output schema, and a long sibling list, the description provides a complete overview of purpose, checks, and return. It is sufficient for an AI agent to understand the tool's scope.

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

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

Schema coverage is 100%, so the baseline is 3. The description lists checks that correspond to parameters (e.g., includeASR, checkImmutability) but does not add new meaning to individual parameters beyond what the 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 tool analyzes Azure Backup and Site Recovery security configurations, listing specific checks (encryption, soft delete, cross-region restore, etc.) and returns (vault security posture, backup coverage gaps). It differentiates from sibling tools by focusing on backup/recovery security.

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 backup security analysis but does not explicitly state when to use this tool versus alternatives (e.g., other azure_analyze_* tools). No guidance on when not to use or prerequisites.

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

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

With no annotations, the description must disclose all behavioral traits. It states it checks and returns findings but omits details such as whether it is read-only, required permissions, rate limits, or error handling. The description lacks sufficient transparency for an agent to anticipate tool 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 two sentences: the first defines the tool's purpose succinctly, and the second lists key checks. It is front-loaded, efficient, and contains no extraneous text.

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 three parameters and no output schema, the description adequately states the tool's purpose and checks but lacks details on output structure, compliance mapping specifics, and behavioral aspects. Some gaps remain for a security analysis 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 coverage is 100%, so baseline is 3. The description does not add extra meaning beyond the schema's parameter descriptions; it merely restates the checks performed, which is not parameter-specific. No additional context for parameters like subscriptionId or format is provided.

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 explicitly states it is a 'Cosmos DB security analyzer' and lists specific checks (public network access, firewall rules, encryption, etc.), clearly distinguishing it from sibling tools that analyze other Azure services.

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

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

The description implies the tool is for Cosmos DB security analysis but provides no explicit guidance on when to use it vs. sibling security analyzers for other services, nor any exclusions or prerequisites.

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

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

No annotations are provided, so the description must disclose behavioral traits. It describes the tool as analyzing rules but does not state whether it modifies resources, required permissions, rate limits, or what the analysis entails beyond a list of checks.

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

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

The description is a single sentence listing key analysis areas, which is concise. However, it could benefit from slight restructuring for 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?

Despite 100% schema coverage and no output schema, the description lacks details about the output format (though format parameter handles part of this), expected results, and prerequisites like subscription access. A more complete description would clarify what the analysis yields.

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

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

Schema coverage is 100%; each parameter has a description in the schema. The tool description adds no additional meaning to the parameters beyond what the schema provides. Baseline score of 3 applies.

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

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

Description clearly identifies the tool's purpose: analyzing Azure Firewall and NSG rules for specific security issues (overly permissive, any-to-any, management port exposure, threat intelligence). It distinguishes from sibling tools like 'azure_analyze_nsg_rules' by mentioning both firewall and NSG, though not explicitly.

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

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

No guidance on when to use this tool versus alternatives. Sibling tools such as 'azure_analyze_nsg_rules' exist but are not mentioned, and there is no discussion of prerequisites or limitations.

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 empty annotations, the description must fully disclose behavior. It mentions return types (risks, configurations, policies) and implies read-only analysis, but does not explicitly state it is non-destructive or mention permissions 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 well-structured with a bold version label, followed by a comma-separated list of analysis areas and return items. It is concise for the level of detail, though the version string could be omitted.

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 (6 parameters, no output schema), the description provides a comprehensive list of security checks and return types. It lacks behavioral or prerequisite details, but the scope is adequately covered for an analysis 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 100%, so baseline is 3. The description adds overall scope (list of security checks) but does not enhance per-parameter meaning beyond the schema's already clear parameter 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 'Azure Functions security analysis' and enumerates specific areas like authentication, VNet integration, CORS, etc. It distinguishes itself from sibling analysis tools (e.g., azure_analyze_app_service_security) by focusing on Functions.

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 explicit guidance on when to use this tool vs alternatives (e.g., other azure_analyze_* tools). It omits prerequisites, context, or exclusions, relying entirely on implicit understanding.

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 describes what the tool checks but does not state whether it is read-only, requires specific permissions, or has any side effects. This is a significant gap for a security assessment 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 concise: one sentence summarizing the purpose followed by a bullet list of checks. It is front-loaded and every sentence adds value. No unnecessary 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?

The description explains the return value (risk-scored findings with severity levels and remediation guidance) even though no output schema is provided. Parameter details are in the schema. The tool's purpose, inputs, and outputs are adequately covered.

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

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

Schema coverage is 100% with descriptions for all parameters. The description adds no additional nuance beyond what the schema provides, so a baseline score of 3 is appropriate.

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

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

The description clearly states the tool performs 'Key Vault security assessment' and enumerates specific checks (soft delete, purge protection, public network access, RBAC vs Access Policies, secret/certificate expiration, diagnostic logging). This distinguishes it from siblings that assess other Azure 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 implies usage for assessing Key Vault security settings, but does not provide explicit guidance on when to use this tool versus alternatives (e.g., other security assessment tools). There are no 'when to use' or 'when not to use' 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?

No annotations provided, so description should disclose behavior. It mentions 'security analysis' but does not clarify if the tool is read-only, whether it requires specific permissions, or what actions it performs (e.g., scanning, listing, checking).

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

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

The description is a single, concise sentence that front-loads the tool's purpose. It is efficient with 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 output schema and no annotations, the description lacks completeness. It does not explain what the analysis output looks like, what prerequisites are needed, or how the results are structured.

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

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

Schema coverage is 100%, so the parameters are already well-documented in the schema. The description does not add additional meaning or context beyond what the 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?

Description clearly states it performs security analysis of Logic Apps, listing specific areas like authentication and access control. However, it does not differentiate itself from many sibling tools that also perform security analysis on other Azure services.

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. The description implies it's for Logic Apps security assessment, but lacks when-not or alternative tool references.

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, and the description does not disclose behavioral traits like read-only nature, authentication requirements, or rate limits. It only implies a read operation by stating it returns findings.

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 somewhat verbose with 'ENHANCED v1.14.0' clutter, but it is front-loaded with purpose and structured as a list of checks, making it adequate though not optimally concise.

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

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

With no output schema, the description vaguely states 'returns findings with risk severity and remediation recommendations' but lacks specifics on output structure, leaving moderate gaps for an automated analysis 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 coverage is 100%, and the description adds value by detailing specific checks (e.g., ports, service endpoints, load balancers) that map to parameters, enriching the schema information.

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

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

The description clearly states it performs automated NSG security analysis with specific checks including ports and rules, distinguishing it from sibling tools that analyze other Azure 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 implies use for NSG security analysis but does not explicitly state when to use this tool vs. alternatives or provide exclusions, leaving usage context implicit.

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

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

With no annotations, description carries full burden but only says 'deep analysis'. Does not disclose if the tool makes changes, required permissions, or potential side effects.

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

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

Single sentence with colon and list, concise and no redundant words. Could be structured better but 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?

No output schema and no annotations. Complex RBAC analysis tool lacks explanation of return values, depth of analysis, or prerequisites, making it incomplete.

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

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

Schema coverage is 100% with clear descriptions for each parameter. Description adds no extra meaning beyond listing 'role assignment permissions, custom role vulnerabilities' which are not directly linked to parameters.

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

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

Description clearly specifies the tool does deep RBAC analysis for privilege escalation, listing specific aspects like role assignment permissions and custom role vulnerabilities. It distinguishes from siblings like azure_enumerate_rbac_assignments by implying deeper analysis.

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 vs alternatives like azure_enumerate_rbac_assignments. Usage is implied but not clarified with when-not or prerequisites.

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

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

No annotations are provided, so the description carries full burden. It mentions the tool is a security analysis that returns findings, implying a read-only operation, but does not explicitly state safety or disclose any behavioral traits like auth requirements or rate limits. It adds context beyond the schema but is not deeply transparent.

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

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

The description is a single paragraph but uses bolding and bullet-like lists effectively. It is concise, covering key points without unnecessary fluff. Slightly dense but 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 complexity of the tool (multiple checks, advanced options) and no output schema, the description provides enough context: it lists checks, mentions risk levels, and notes new features. It could detail output format more, but sufficient for 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 input schema covers all 6 parameters with descriptions (100% coverage). The tool description does not add significant new meaning beyond summarizing the checks; e.g., it mentions 'NEW: Detects overly permissive SAS tokens' which aligns with the scanSasTokens parameter. Baseline 3 is appropriate as schema already documents parameters well.

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

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

The description clearly states it is a 'Comprehensive storage security analysis' tool and lists specific checks including public blob access, firewall, encryption, SAS token security, and immutability. It distinguishes itself from sibling tools like azure_analyze_app_service_security by focusing on storage.

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 storage security analysis but does not explicitly mention when to use this versus alternatives among the many sibling Azure analysis tools. It provides clear context but no exclusions or when-not guidance.

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

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

Annotations are empty, and the description does not state whether the tool is read-only or has side effects. For a security scanner, it's likely non-destructive, but without explicit disclosure, the agent lacks critical 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 concise (two sentences with a bullet list) and front-loaded with the core purpose. Every sentence adds value with zero 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?

The description covers the tool's main checks and return format (vulnerability findings with exploitation paths). Lacking output schema, this is sufficient. Minor omission: no mention of permissions or scope, but overall fairly complete.

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

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

Schema description coverage is 100%, so the schema already documents all parameters. The description adds no extra semantic value beyond listing checks, which is not parameter-specific. Baseline 3 is appropriate.

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

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

The description clearly states 'Virtual Machine security scanner' and enumerates specific checks (OS disk encryption, data disk encryption, etc.), which precisely identifies the tool's function and differentiates it from sibling tools focusing on other Azure 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 implies use for VM security assessment, and the extensive sibling list of other Azure resource analyzers provides implicit context. However, it lacks explicit 'when to use' or 'when not to use' guidance.

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

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

Annotations are empty, so the description carries full burden. It lists checks and returns, providing some behavioral context. However, it does not disclose whether the tool is read-only, any destructive potential, authentication needs, rate limits, or other behavioral traits. It implies analysis but is not explicit about safety.

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 moderately sized, includes a version note, and uses bullet points for structure. However, it has some redundancy (checks and returns overlap) and could be more concise 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?

The description lists checks and returns, which is helpful given no output schema. However, it does not explain output format details (though a format parameter exists) or mention any required permissions. Given the tool's complexity (5 parameters), it is adequate but has 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 100%, so all parameters have descriptions in the schema. The tool description adds overall context but does not provide additional specific meaning for each parameter beyond what the schema already provides. Baseline 3 is appropriate.

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

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

The description clearly states the tool analyzes VNet peering security and network topology. It lists specific checks and return values. It differentiates from sibling tools by focusing on VNet peering, which is distinct from other Azure analysis 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 implies usage for analyzing VNet peering but does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention when not to use it. Sibling tools are listed but no differentiation is given in the description.

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

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

The description extensively details what the tool checks and returns (e.g., Defender plans, pricing tier, secure score, recommendations, compliance). With no annotations, it provides good behavioral context, though it doesn't mention permissions 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 packed with useful information and front-loaded with a version note. While fairly concise, it could be slightly tighter, but overall it's well-structured for quick understanding.

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 output schema, the description adequately explains what the tool returns (coverage gaps, score breakdown, etc.) and covers all 4 parameters. It provides sufficient context for an agent to understand the tool's capabilities.

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

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

Schema coverage is 100%, so baseline is 3. The description does not add extra meaning to parameters beyond what the schema provides; it repeats the overall purpose but doesn't elaborate on parameter intricacies.

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: assessing Microsoft Defender for Cloud coverage and security posture, listing specific checks. While it doesn't explicitly differentiate from sibling tools, the focus on Defender for Cloud is distinct enough.

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

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

The description implies usage for overall Defender coverage assessment but lacks explicit guidance on when to use this tool versus alternatives like individual security analysis tools. No when-not-to-use or alternative references.

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

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

Annotations are empty, so description carries full burden. It indicates a read-only 'identify' operation but doesn't specify scope (subscription-level), required permissions, or whether it triggers any side effects.

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

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

Single sentence with no redundancy, efficiently lists key persistence mechanisms. 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?

Purpose is clear, but description lacks detail on output format or interpretation results. With no output schema and empty annotations, more behavioral context would be beneficial for 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?

Schema coverage is 100% with both parameters described. Description adds no additional meaning beyond schema; for a 2-param tool with full schema, baseline 3 is appropriate.

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

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

The description clearly states the tool identifies Azure persistence mechanisms and lists specific resources (automation accounts, runbooks, etc.), distinguishing it from sibling tools that focus on specific services like logic apps or storage.

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

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

No guidance on when to use this tool versus others, no prerequisites or exclusions mentioned. The description only lists what it checks without context for appropriate 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, the description carries the full burden. It discloses the output fields and implied read-only behavior but lacks explicit statements about side effects, authentication needs, rate limits, or safety. The description adds value over annotations (which are absent) but could be more explicit.

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 primary action and is relatively concise, though the 'ENHANCED v1.14.0' metadata adds some clutter. The content is structured with clear output categories, but could be slightly more streamlined.

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 (6 parameters, no output schema), the description provides a good summary of return values and behavior. It covers the main optional analysis features (federated credentials, cross-subscription, role assignments) and aligns with the parameter defaults. The format parameter is not mentioned, but the schema covers it. Overall adequate for an enumeration 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 coverage is 100%, so the description does not need to repeat parameter details. The description briefly mentions federated credentials and cross-subscription analysis, which correspond to parameters, but does not add significant meaning beyond the schema. Baseline score of 3 is appropriate.

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

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

The description clearly states the tool enumerates all managed identities (system-assigned and user-assigned) with federated credentials and cross-subscription analysis. It lists specific return fields and distinguishes itself from sibling enumerate tools by focusing on managed identities and their security 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?

The description provides context for security analysis (e.g., passwordless authentication, privilege escalation) but does not explicitly state when to use this tool versus alternatives or when not to use it. No exclusion criteria or direct comparisons are given.

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

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

With no annotations provided, the description must fully convey behavioral traits. It only outlines return values and purpose, omitting details like read-only nature, required permissions (e.g., Reader role), potential rate limits, or any side effects. This leaves the agent without critical 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 concise (three sentences) and front-loaded: action and purpose in the first sentence, return values in the second, and context in the third. Every sentence adds value without redundancy.

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

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

For a tool with 3 parameters, no output schema, and no nested objects, the description covers the essential aspects: what it does, what it returns, and its purpose. Minor gaps like handling large result sets or pagination are absent but acceptable for this scope.

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

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

Schema description coverage is 100% as all parameters have descriptions in the input schema. The tool description adds no additional meaning beyond stating return fields; parameter details are already sufficient in the schema. Baseline score of 3 is appropriate.

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

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

The description uses specific verb 'Enumerate' and resource 'public IP addresses', clearly stating the goal to map internet-exposed attack surface. It distinguishes from sibling enumeration tools by focusing on public IPs, which is unique among the listed siblings.

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 use for security assessment ('mapping attack surface') but does not explicitly state when to use this tool over alternatives or when not to use it. No exclusions or comparisons 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 provided, so description carries full burden. It describes what is returned (principal, role, scope) but does not explicitly state read-only nature, authentication requirements, or potential side effects. The verb 'Enumerate' implies listing, but not fully transparent.

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

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

Two concise sentences: first states purpose, second lists return types and use cases. No filler, front-loaded with key information.

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

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

Given no output schema, the description adequately covers return values and use cases. However, it omits details like pagination or result limits, which could be important for large subscriptions. Still, it is mostly complete for a listing 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 coverage is 100% with good parameter descriptions. The tool description adds context by explaining the purpose of each parameter and how they affect output, e.g., scope limiting analysis. This adds value beyond the schema.

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

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

Clearly states the tool enumerates RBAC assignments to identify who has access to what, listing return values and use cases. It is distinct from sibling tools like azure_analyze_rbac_privesc and azure_enumerate_role_definitions, though not explicitly differentiated.

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

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

Mentions useful scenarios (identifying privileged accounts, excessive permissions) but lacks guidance on when not to use this tool versus alternatives. No explicit exclusions or context for choosing this over siblings.

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

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

Annotations are empty, so the description must fully disclose behavior. It states it enumerates resource groups and returns specific fields, but does not mention whether the operation is read-only, any required permissions, error handling for invalid subscription IDs, or rate limits. The description is thin on 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?

Two concise sentences cover the purpose, return fields, and filtering capability. No unnecessary words; each sentence earns its place.

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

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

Given the lack of output schema, the description compensates by listing return fields. It covers the main functionality and the three parameters are fully described in the schema. Missing some behavioral context (permissions, errors) but for a simple enumeration tool, it is fairly 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 coverage is 100%, so the baseline is 3. The description adds some value by mentioning that the output includes name, location, ID, and tags, and that location filtering is supported, but the filtering details are already in the parameter descriptions. The added output information is not overwhelming.

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 'Enumerate', the resource 'resource groups', and the scope 'in a specific subscription'. It also lists what is returned (name, location, ID, tags) and indicates location filtering. This differentiates it from sibling enumeration tools like azure_enumerate_managed_identities.

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 is no mention of prerequisites, use cases, or situations where another tool would be more appropriate given the many sibling enumeration tools.

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

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

No annotations are provided, so the description carries the burden. It states what the tool returns but does not disclose if the operation is read-only, any permission requirements, or potential side effects. For a simple listing tool, the description is adequate but not thorough.

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

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

Two concise sentences cover the action, scope, filtering, and output. No unnecessary words; every sentence adds value.

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

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

For a listing tool with 5 parameters and no output schema, the description covers the essential usage. It could mention pagination or limits, but the description is complete for the task at hand.

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?

Input schema has 100% coverage with detailed descriptions for each parameter. The description adds a summary of filtering but does not provide additional meaning beyond the schema. Baseline 3 is appropriate.

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

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

The description clearly states the verb 'enumerate' and the resource 'all resources', with scope (subscription or resource group) and filtering options. It distinguishes from sibling tools like azure_enumerate_resource_groups and azure_enumerate_subscriptions by focusing on resources themselves.

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 clear context for use (listing resources with filters), and the sibling tool list indicates specific alternatives for more targeted enumeration. However, it lacks an explicit 'when not to use' or alternatives statement.

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

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

With no annotations, the description must disclose behavioral traits. It states it 'checks' role definitions and identifies security issues, implying a read-only operation, but does not explicitly declare read-only nature, permission requirements, or potential side effects. The security focus is clear, but transparency about operation type is lacking.

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

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

The description is concise with three sentences, front-loading the primary purpose and then adding specific security details. Every sentence adds value, and there is no redundancy or unnecessary 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 no output schema, the description covers the key purpose and security features. However, it does not explain the return structure (e.g., list of definitions) or the impact of the 'format' parameter. It is complete enough for an agent to understand the tool's value, but missing output details limits 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?

Schema description coverage is 100%, so the baseline is 3. The description adds context about 'custom roles' which relates to the includeBuiltIn parameter, but does not provide additional semantics beyond what the schema already describes. No enrichment of parameter meaning.

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 specifies the tool's purpose: enumerating Azure RBAC role definitions, including custom roles. It further distinguishes itself by highlighting security-focused capabilities such as identifying wildcard permissions and privilege escalation paths, which sets it apart from sibling tools like azure_enumerate_rbac_assignments.

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 security auditing of role definitions but lacks explicit guidance on when to use this tool versus alternatives (e.g., azure_analyze_rbac_privesc). No when-not-to-use or exclusion criteria are provided, leaving the agent to infer context from the name and 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?

Annotations are empty, so the description must convey behavior. It mentions 'enumerate' suggesting read-only, and includes a permission requirement for credential validation in parameter descriptions. However, it does not explicitly state that the tool is read-only, nor does it disclose rate limits or API impact. The description is adequate but not thorough.

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 relatively concise, using bullet-style lists for features. It includes a version tag 'ENHANCED v1.14.0' which is unnecessary but not harmful. Each sentence contributes information, though the 'NEW:' prefix is somewhat redundant.

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 5 parameters and no output schema, the description gives a good overview of analysis areas and new features. However, it lacks detail on the structure of returned security findings (e.g., fields, risk prioritization format), which is necessary for effective use. Support for the output format parameter (markdown/json) is not explained.

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

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

Schema coverage is 100% with detailed parameter descriptions, giving baseline 3. The description adds context by linking parameters to features like credential hygiene (validateSecrets, expiryWarningDays) and privilege analysis (includePrivilegeAnalysis), enhancing understanding beyond 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 tool enumerates service principals with RBAC role assignments for security analysis. It lists specific analysis areas (privilege escalation, multi-subscription access, etc.), distinguishing it from sibling tools like azure_enumerate_rbac_assignments that focus only on role assignments without service principal 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?

The description implies usage for security auditing of service principals but provides no explicit guidance on when to use this tool versus alternatives like azure_enumerate_managed_identities or azure_analyze_rbac_privesc. No exclusions or when-not-to-use information is given.

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

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

With no annotations, the description carries full burden for behavioral disclosure. It mentions the tool returns specific fields and uses current credentials, but does not state whether the operation is read-only, has side effects, or requires specific permissions. The implied read-only nature from 'Enumerate' is not made explicit.

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

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

The description is two short sentences, front-loaded with the action and scope, and no unnecessary words. Every sentence provides value.

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

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

Given the tool's low complexity (1 optional parameter, no output schema), the description is mostly complete, covering purpose, scope, and return fields. It could be improved by mentioning the optional format parameter, but the schema compensates.

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?

Input schema has 100% coverage of the single optional parameter 'format' with a complete description. The tool description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.

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

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

The description uses specific verb 'Enumerate' and resource 'Azure subscriptions', clearly stating the scope ('accessible with current credentials') and returned fields. It distinguishes itself from sibling tools like azure_analyze_* and other azure_enumerate_* tools by focusing solely on subscriptions.

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

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

The description does not explicitly state when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. It implies usage for listing subscriptions, but lacks explicit guidance, relying solely on context from sibling tool names.

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 provided, so description carries full burden. Describes outputs (executive summary, findings, etc.) and formats. Does not disclose potential side effects (e.g., cost, time, permissions) beyond what it does. Could be more transparent about operational impact.

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

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

Description is long and detailed, using bold and lists effectively. While informative for a complex tool, it could be more concise. Front-loads version and main purpose. Justified length but not optimal for quick scanning.

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

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

Given complexity (7 params, no output schema), description adequately explains what the tool produces (executive summary, findings by severity, remediation, compliance) and output formats. Could clarify how report is returned (e.g., file path, inline), but overall complete for a security report generator.

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

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

Schema coverage is 100%, but description adds significant context beyond schema: explains that fullScan runs 40 tools versus 4 for quick scan, provides examples for outputFile, and details what 'comprehensive' includes. Enhances understanding of parameter behavior.

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

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

Description clearly states 'generate comprehensive security assessment report', distinguishes quick vs full scan, and lists many specific tools included. Differentiates from sibling tools which are focused on individual analyses.

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

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

Provides explicit guidance on when to use quick scan (default) vs full scan (fullScan: true). Implicitly contrasts with specific sibling tools by offering a comprehensive overview. Lacks explicit 'when not to use' or alternatives, but context is clear.

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

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

With no annotations, the description carries full burden. It discloses that the tool extracts credentials and returns cluster details, and mentions admin credentials are only available with proper permissions. However, it does not mention any destructive side effects, rate limits, or prerequisites beyond what the schema implies.

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

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

The description is two tight sentences plus a one-line use-case note. It front-loads the main action and all content is relevant. 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?

With 5 parameters and no output schema, the description lists return values but does not explain the format or structure of the kubeconfig. For a tool that returns complex data, more detail on how credentials are returned (e.g., as text, file, or structured data) 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?

Schema description coverage is 100%, so baseline is 3. The description does not add extra meaning to parameters; it only mentions adminAccess implicitly via the 'admin credentials (if available)' note. No additional guidance beyond schema is provided.

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 extracts AKS cluster credentials and kubeconfig for kubectl access. It lists return values and distinguishes itself from sibling tools like azure_scan_aks_full or azure_analyze_rbac_privesc.

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 an 'OFFENSIVE USE' section indicating when to use for exploitation, but it does not explicitly state when not to use the tool or compare it to alternatives like azure_get_resource_details. No exclusion criteria 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Get detailed configuration and properties' without revealing whether the tool is read-only, what authentication or permissions are needed, or any rate limits. This lack of context could mislead an agent into expecting modifications or missing required permissions.

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

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

The description is extremely concise: one sentence for the core purpose and one sentence for use cases. It is well-structured and front-loaded, with 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?

Despite having 6 parameters and no output schema, the description is minimally adequate. It mentions what the tool returns ('detailed configuration and properties') but does not specify the format or structure of the output. Given the complexity of Azure resources and the lack of output schema, more detail on return values would be beneficial.

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

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

Schema coverage is 100%, so the baseline is 3. The description does not add significant meaning beyond the schema; it only includes an example of resource provider values already listed in the schema. The parameter descriptions in the schema are self-explanatory, so the description offers limited additional value.

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

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

The description clearly states the tool's action ('Get detailed configuration and properties') and the resource type ('specific Azure resource'). It also provides concrete use cases ('analyzing security settings, network configs, encryption status') which differentiates it from sibling tools that are more specialized analysis 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 implies usage for general resource detail retrieval ('Useful for analyzing...'), which distinguishes it from the siblings that focus on specific analysis (e.g., azure_analyze_nsg_rules). However, it does not explicitly state when not to use this tool or mention alternative tools for more specific needs.

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, but the description accurately describes a read-only, informational behavior. There is no need for additional disclosure for a help tool.

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

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

The description is a single sentence with no fluff, efficiently conveying the tool's purpose.

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

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

Given no output schema and no parameters, the description is complete enough. It could mention return format, but not essential for a simple help 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?

No parameters exist; schema coverage is 100%. The description adds meaning by specifying that help covers all available tools and usage examples, setting clear expectations.

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

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

The description clearly states it displays comprehensive help for all available Azure penetration testing tools and usage examples, which distinguishes it from the many analysis and enumeration 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?

While no explicit when-to-use or alternatives are given, the name and description imply it should be used when the agent needs help or examples for other tools. The context makes it obvious.

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

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

With no annotations, the description must disclose behavior. It states it checks resource groups, VMs, storage accounts, and AKS clusters, and mentions scan modes. However, it does not explicitly state that the tool is read-only or describe output behavior beyond format options in the schema.

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

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

The description is concise with two sentences. The main purpose is front-loaded. The second sentence adds context, but the phrase 'Quick scan' is somewhat redundant. No unnecessary details.

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

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

The description explains what the tool does but lacks details about output format (though schema provides options). For a simple list tool, it is mostly complete, but could benefit from specifying that the output lists region names or statuses.

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

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

Schema coverage is 100%, so parameters are already documented. The description adds context about what resources are checked but does not elaborate on parameter usage beyond the schema. Baseline score of 3 is appropriate.

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

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

The description clearly states the tool's purpose: 'Discover which Azure locations have resources deployed.' It specifies the verb (discover/scan) and resource (Azure locations), and distinguishes from sibling tools like azure_scan_all_locations by focusing on active regions for quick identification.

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

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

The phrase 'Quick scan to identify active regions before deep scanning' provides clear usage context, implying this tool is a preliminary step. However, it does not explicitly mention when not to use it or list alternative tools.

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

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

With empty annotations, the description bears full burden for behavioral disclosure. It lists checks (read-like operations) but does not mention side effects, permissions, rate limits, or whether it modifies state. The 'Checks' phrasing implies read-only, but this is not explicit.

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

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

The description is concise, consisting of one sentence followed by a focused list. It front-loads the primary purpose and then details checks. Minor formatting improvements (e.g., bullet list) could enhance readability, 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?

The description covers many security checks but lacks explanation of output format, error handling, or prerequisites (e.g., required permissions). Given the complexity (5 parameters, no output schema), more detail on what the scan produces 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?

Schema coverage is 100%, so the input schema already describes all parameters. The tool description adds no further detail about parameter usage or semantics beyond the schema, meeting the baseline but not exceeding it.

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 as a 'Comprehensive Azure Container Registry (ACR) security scanner' and enumerates specific checks (admin user, public access, vulnerability scanning, etc.), making it highly specific to ACR security. The name and description together differentiate it from sibling tools that target other Azure resources like CDN or container apps.

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

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

No explicit guidance is given on when to use this tool versus alternatives such as azure_analyze_storage_security or azure_scan_all_locations. The description implies usage for ACR security scanning, but lacks context on 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 provided, so description carries full burden. It mentions scan modes and some behaviors (e.g., for imds mode: deep scan, export tokens) but does not disclose potential side effects, required credentials, or destructive nature. More transparency needed.

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?

Description is dense but front-loaded with emoji and capitals. It conveys modes and coverage quickly in a single paragraph. Some structuring would improve readability, but overall efficient.

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

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

With 12 parameters and no output schema, description should explain return values. It does not describe output format content (e.g., report structure). The 'format' parameter is noted but not what the output contains. Missing comprehensive usage for optional parameters.

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

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

Schema coverage is 100%, baseline is 3. Description adds some value by explaining scan modes and parameters like 'scanMode' enum values, but does not significantly enhance understanding beyond the schema.

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

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

Description clearly states the tool performs a comprehensive AKS security scan with specific verb 'scan' and resource 'AKS'. It lists multiple scan modes and coverage areas, distinguishing it from sibling tools like 'azure_scan_aks_policy_bypass' by its 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?

Description explains scan modes but does not provide explicit guidance on when to use this tool versus alternatives like 'azure_scan_aks_policy_bypass' or 'azure_analyze_rbac_privesc'. Usage context is implied but not clearly differentiated.

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

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

Annotations indicate readOnlyHint=true and destructiveHint=false, and the description aligns with a read-only scan. It adds transparency by detailing what is analyzed (Gatekeeper constraints, Kyverno policies, audit modes, webhook configurations), but does not mention potential time/resource requirements or permission needs.

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

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

The description is two sentences, front-loaded with key action and scope. Every word adds value, with no redundancy or filler.

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

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

The description is complete for a read-only scan tool, covering what vulnerabilities are detected and what is analyzed. However, without an output schema, it could be improved by briefly describing the output format (e.g., report containing findings).

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

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

The input schema provides 100% coverage with descriptions for all four parameters. The tool description adds no additional info beyond the schema, so the parameter semantics are adequately covered by the schema alone.

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

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

The description clearly states it detects OPA and Kyverno policy bypass vulnerabilities, listing specific checks (constraint violations, policy exceptions abuse, enforcement gaps). It names the technologies and resources analyzed, making the tool's purpose distinct from sibling tools like azure_scan_aks_full.

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 policy bypass detection but does not explicitly guide when to use this tool versus alternatives (e.g., azure_scan_aks_full). No 'when not to use' or contextual cues 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?

Annotations are empty, so the description carries full burden. It describes scanning behavior but does not explicitly state that the tool is read-only or disclose any side effects, rate limits, or permissions needed. No contradiction with annotations.

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

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

Two concise sentences front-load the purpose and key usage details. Every sentence adds value without redundancy.

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

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

Given no output schema, the description does not explain return format, but the output format parameter is defined. The description is complete enough for a scanning tool with clear presets and resource types, though pagination or performance notes could be beneficial.

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 100% schema coverage, baseline is 3. The description adds value beyond schema by explaining location presets and giving examples, and clarifying the scope of 'common' and 'all'.

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

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

The description clearly states it scans multiple Azure locations for resources, lists supported resource types (vms, storage, nsgs, aks, sql, keyvaults, public_ips, all), and distinguishes from sibling tools that focus on single resource types or specific analysis.

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 clear guidance on using presets ('common' for 10 locations, 'all' for 45+ locations) and custom locations, but does not explicitly state when not to use this tool or mention 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 empty annotations, the description carries full burden. It mentions enumeration and checking, but does not disclose whether the tool is read-only, discusses side effects, or details authentication beyond PAT requirements. Some transparency but incomplete.

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 bullet points and a clear separation of scanning and offensive use. Could be slightly more concise, but front-loads the main purpose effectively.

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 (multiple scanning areas) and no output schema, the description covers enumerations and checks adequately. However, it lacks usage context and behavioral traits like idempotency, making it somewhat incomplete.

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

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

Schema coverage is 100%, so baseline 3. The description repeats scanning focus but does not add new semantic meaning beyond what the schema already provides for parameters.

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

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

The description clearly states it is an 'Azure DevOps security scanner' and lists specific enumerations and checks. It distinguishes from sibling tools by focusing on Azure DevOps, with a specific verb 'scan' and resource 'Azure DevOps'.

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. The 'OFFENSIVE USE' note hints at scenarios but does not clarify when not to use or compare with sibling tools like azure_scan_aks_full.

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

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

No annotations exist, so the description must carry the full behavioral burden. It implies a read-only scan ('detect') but does not explicitly confirm no side effects, required permissions, rate limits, or output structure. For a security scanner, this is minimally adequate but leaves uncertainty.

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

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

The description is a single focused sentence that lists multiple vulnerability categories. It is concise and front-loaded with action and target. Could benefit from slight restructuring (e.g., bullet points) but remains 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 of a security scanning tool and the absence of an output schema or annotations, the description covers purpose but omits typical output format, prerequisite permissions, and interpretation guidance. It is minimally complete but lacks richness for optimal agent decision-making.

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

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

Schema coverage is 100%, with clear descriptions for all 4 parameters (subscriptionId, resourceGroup, profileName, format). The description adds no extra parameter semantics beyond the schema, achieving the baseline 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 tool detects misconfigurations for Azure CDN and Front Door, listing specific vulnerability types (origin exposure, caching exploits, WAF bypass, etc.). It effectively distinguishes itself from sibling tools like azure_scan_sql_databases or azure_scan_acr_security by specifying the exact Azure services it targets.

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, no prerequisites, and no indications of scenarios where it should not be used. Among many similar scanning siblings, this omission forces the agent to guess selection criteria.

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

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

Annotations are empty, so the description carries full burden. It implies a read-only scan but doesn't explicitly confirm no modifications or disclose any side effects, permissions, or rate limits. The list of vulnerability types is useful but insufficient for complete transparency.

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

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

The description is a single sentence, avoiding unnecessary verbosity. However, the long list of vulnerability categories could be better formatted (e.g., bullet points) for readability, but overall it is concise.

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

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

Given 4 parameters, 1 required, and no output schema, the description lacks information about the return value structure or how to interpret results. It does not explain output format behavior beyond the enum, leaving the agent with gaps in understanding the complete tool behavior.

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

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

Schema coverage is 100%, so baseline is 3. The description adds no additional meaning beyond what the schema already provides; it only lists vulnerability categories without explaining how parameters like resourceGroup or containerAppName affect scanning scope or output.

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 detects vulnerabilities in Azure Container Apps, listing specific categories like ingress exposure and secret management flaws. This makes the purpose explicit and distinct from sibling tools which target other Azure 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 on when to use this tool versus alternatives. It does not mention scenarios where a different tool would be more appropriate, nor does it provide context for prerequisites or limitations.

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

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

Annotations are empty, so the description must fully disclose behavior. It does not state whether the tool is read-only, what permissions are required, or any side effects. The description merely lists vulnerability categories without 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 a single sentence with no fluff, but it could be structured to separate purpose from capabilities. Still, it is concise and front-loaded with the core purpose.

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

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

No output schema is provided, and the description does not explain the return format or results. The optional 'format' parameter's impact is not clarified. The tool is moderately complex (4 parameters), but the description lacks completeness regarding output and prerequisites.

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

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

Schema coverage is 100%, so parameters are already documented. The description adds no extra meaning beyond the schema (e.g., does not explain what subscriptionId or clusterName implies). Baseline 3 is appropriate as the description does not augment parameter 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 detects Azure GitOps (Flux) vulnerabilities and lists specific vulnerability types. It distinguishes itself from sibling tools like azure_scan_aks_full and azure_scan_azure_devops by focusing on Flux-specific issues.

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. With many sibling tools, there is no mention of when not to use it or which scenarios are appropriate. For example, it does not clarify that this is for Flux-specific vulnerabilities, not general AKS security.

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

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

Annotations are absent, so the description bears full responsibility. It discloses specific checks and highlights a critical finding, but lacks details on required permissions, read-only nature, rate limits, or the output structure. Provides intermediate transparency.

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

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

The description is two sentences with no fluff. It front-loads the main action and provides a critical note. Every sentence contributes meaning without 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 four parameters and no output schema, the description covers the checks performed but does not specify output format details, severity levels, or how results are presented. Missing some context for full 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?

Schema description coverage is 100%, so baseline is 3. The description adds value by explaining what the tool checks (encryption, public access, orphaned status, state, classification) beyond the parameter descriptions, enhancing semantic 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 specifies the tool scans Azure Managed Disks for security misconfigurations, listing specific checks (encryption type, public network access, orphaned disks, disk state, classification). This distinctly differentiates it from sibling tools targeting other Azure 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 implies usage for security scanning of managed disks but does not explicitly state when to use it versus alternatives among the siblings. No exclusions or alternative tool references 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 full burden. It discloses that the tool scans and returns findings with severity levels and references, which is adequate for a read-only scanner.

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

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

The description is a single paragraph that efficiently lists all checks without superfluous content. It is front-loaded with version info, which is not critical but does not detract.

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 output schema, the description adequately explains return format (findings with CWE references and attack vectors). All parameters are documented in schema, and the description covers the tool's scope comprehensively.

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

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

Schema description coverage is 100%, so the baseline is 3. The tool description does not add additional parameter-specific information beyond what the schema already 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 it's a 'Comprehensive database security scanner' supporting specific database types and lists detailed checks, distinguishing it from sibling tools which target other Azure services.

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 clear context for database security scanning but does not explicitly state when to use this tool over alternatives. The sibling context implies usage scope.

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 fully discloses the tool's behavior: lists containers, checks public access, enumerates blobs, detects sensitive files with specific patterns, identifies SAS tokens, checks encryption, and finds orphaned blobs. It does not mention permissions or side effects, but as a read-only scan, this is sufficient.

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

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

The description is a single paragraph but front-loaded with the main purpose and then lists specifics. It is concise without unnecessary words, though bullet points could improve 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 5 parameters, no output schema, and empty annotations, the description covers the tool's scope, detection capabilities, and output format options. It mentions default behavior for storageAccountName and maxBlobsPerContainer. Minor absence of performance or permission notes, but overall 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 coverage is 100% with parameter descriptions, but the description adds valuable context: e.g., 'If omitted, scans all storage accounts with public blob access' for storageAccountName, and default maxBlobsPerContainer value. This enhances understanding beyond the schema.

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

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

The description clearly states 'Deep scan of storage account containers and blobs' and lists specific actions like listing containers, checking public access, detecting sensitive files, identifying SAS tokens, etc. It explicitly states it's 'CRITICAL for data exposure assessment', which differentiates it from siblings like 'azure_analyze_storage_security' that might be broader.

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 data exposure assessment but does not explicitly state when to use this tool versus alternatives like 'azure_analyze_storage_security'. No exclusion criteria or context for when not to use it 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 empty annotations, the description carries full burden. It describes what the tool checks and returns, but does not explicitly state that it is read-only or mention any side effects, authentication needs, or rate limits.

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

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

The description is concise, front-loaded with purpose, and uses a list format for clarity. It is slightly verbose with the version note, but overall efficient.

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

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

Given no output schema, the description provides a good summary of returns (gaps, compliance). It covers the tool's scope well, though it could detail return structure or errors.

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?

Parameter coverage in schema is 100%, so description adds little beyond listing checks. Baseline 3 is appropriate as the description does not significantly enhance parameter 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's purpose: 'Validate diagnostic settings and logging compliance across Azure resources.' It lists specific checks and returns, distinguishing it from sibling tools that focus on other Azure security aspects.

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

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

The description implies when to use this tool (e.g., to check logging compliance) but lacks explicit guidance on when not to use it or how it compares to alternatives. No siblings 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?

Without annotations, the description partially bears the behavioral transparency burden. It indicates a validation/analysis operation (likely read-only) and lists what is checked and returned, but does not explicitly disclose read-only nature, required permissions, or potential performance impact.

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

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

The description is concise, using two sentences to convey purpose and scope. The first sentence clearly states the main action, and the second lists items. It is front-loaded but could benefit from bullet points or clearer separation for 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 no output schema, the description compensates by listing return items (e.g., policy violations, non-compliant resources). It covers the tool's scope and outputs reasonably well, though it could detail output structure or format specifics more.

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

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

Schema coverage is 100% with each parameter described adequately in the schema. The description does not add additional meaning or usage context beyond what the schema already provides, resulting in a baseline score.

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

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

The description clearly states the tool's purpose: 'Validate Azure Policy compliance and governance controls.' It lists specific checks and returns, distinguishing it from sibling tools that focus on other Azure services or general enumeration.

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 policy compliance validation but does not explicitly state when to use this tool versus alternatives. No guidance on when not to use or mention of alternative tools, leaving context inferred rather than explicit.

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

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

No annotations provided, so description carries full burden. It describes validation checks and returns, but does not explicitly state that the tool is read-only or non-destructive. Missing details on authentication requirements or rate limits. Adequate but not explicit.

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?

Description is concise and front-loaded with version info. It lists checks and returns efficiently without wasted sentences. Could benefit from structured bullet points for 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?

Covers the purpose and return types, but does not explain the 'format' or 'validateDNS' parameters or output structure. With no output schema, the description should detail the format of returned data.

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

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

Schema coverage is 100%, so parameters are already documented. The description adds little beyond the schema; it does not provide examples or clarify values for 'serviceTy' or format. Baseline 3 is appropriate.

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

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

The description clearly states the verb 'Validate' and the resource 'Private Endpoint and Private Link security configurations'. It lists specific checks and return values, distinguishing it from sibling tools that analyze other Azure services.

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 vs alternatives. While the name and description imply private endpoint validation, it does not state when not to use it or suggest sibling tools for other scenarios.

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