Server Quality Checklist

Tool Scores

• manage_rotation_settingsC
  2.9/5.0
  Behavior2/5

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

  No annotations are provided, so the description must carry the full disclosure burden. It mentions configurable intervals, cron scheduling, and notifications, but omits critical behavioral traits such as whether updates are irreversible, permissions required, or if rotation occurs immediately. The 'security benefits' section is marketing language rather than operational transparency.

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

  Conciseness2/5

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

  The description is verbose, padded with a 'SECURITY BENEFITS' section that adds little operational value. It could convey the same core information in half the length. The structure is organized, but all-caps formatting and repetitive marketing phrases hurt readability.

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

  Completeness2/5

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

  This is a complex tool with 11 parameters and 4 actions, yet the description does not specify which parameters are required for each action or explain parameter interplays like rotation_interval vs rotation_schedule. The output schema exists, but the agent needs more action-level guidance to invoke correctly; the example is illustrative but insufficient.

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

  Parameters3/5

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

  Schema coverage is 100% for all 11 parameters, so the baseline is 3. The description adds some context by grouping features like 'Auto-rotation with configurable intervals (7-365 days)' which maps to rotation_interval, but it largely duplicates schema descriptions. It does not clarify action-specific parameter dependencies.

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

  Purpose4/5

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

  The description clearly identifies the tool as a rotation settings manager for secrets and keys, enumerating four supported actions (set_rotation, update_settings, list_rotation, get_rotation_status). It differentiates itself from sibling tools by focusing specifically on rotation rather than general secret management, though it does not explicitly name alternatives.

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

  Usage Guidelines3/5

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

  Usage is implied through the listed actions and an example (setting rotation for database credentials every 30 days), giving some context. However, there is no explicit guidance on when to use this tool versus manage_secrets or other siblings, 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.

• manage_secretsB
  3/5.0
  Behavior2/5

  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 offers minimal insight into side effects, permissions, reversibility, or safety risks (e.g., no warning that 'delete' might be permanent or require special privileges). The phrase 'smart detection' and 'securely retrieve' add some context, but the overall transparency is weak for a tool with such destructive operations.

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

  Conciseness2/5

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

  The description is verbose and largely redundant with the schema's action parameter description, which repeats the same action list verbatim. While the section headers (SUPPORTED ACTIONS, DELETE OPERATIONS) provide some structure, the content is not appropriately sized for the value it adds—many sentences simply restate what the schema already documents.

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

  Completeness3/5

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

  For a tool with 76 parameters and 11 actions, the description provides a comprehensive action list and some delete examples, but it lacks per-action parameter mapping, prerequisites, or warnings. The output schema exists, so return values are covered, but the description does not fully compensate for the tool's complexity in navigating correct usage.

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

  Parameters3/5

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

  The schema description coverage is 100% and the individual parameter descriptions are detailed, so the baseline is 3. The tool description adds a few usage examples (e.g., 'delete(name="/secret1")') and groups delete-related parameters, but it does not systematically explain which action requires which parameters or add meaning beyond the schema.

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

  Purpose4/5

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

  The description clearly states 'Create, retrieve, update, and delete secrets' and lists all supported actions, making the tool's purpose unambiguous. However, it does not explicitly differentiate this tool from sibling tools like manage_auth_methods or manage_targets, though the domain is evident from the name and content.

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

  Usage Guidelines3/5

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

  The description implies usage through its 'SUPPORTED ACTIONS' list and delete examples, but it never explicitly states when to use this tool versus alternatives or provides exclusion criteria. It lacks a clear 'use this when...' statement, leaving the agent to infer context from the action names.

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

• manage_targetsB
  3.1/5.0
  Behavior2/5

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

  With no annotations, the description must carry the full burden of disclosing behavioral traits, but it only mentions version control for delete and high-level actions. It does not disclose safety implications, permission requirements, side effects of create/delete, or any special behaviors like pagination or credential handling, which are critical for a tool handling external connections.

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

  Conciseness4/5

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

  The description is well-structured with clear sections for actions and target types, and it is front-loaded with the tool purpose. It avoids excessive wordiness while providing an informative overview, though the uppercase heading and repetitive formatting could be slightly tighter.

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

  Completeness2/5

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

  Despite having an output schema and rich parameter descriptions, the description lacks critical context for a high-complexity tool. It does not clarify which parameters apply to which actions, omits safety/versioning details beyond a mention, and creates ambiguity by stating create supports database/LDAP while the schema includes cloud types. This leaves gaps that could confuse an AI agent.

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

  Parameters3/5

  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 since parameter details are already well-documented within the schema. The description adds limited value by listing target types and an example, but it does not deepen understanding of parameter relationships or action-specific requirements beyond what the schema provides.

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

  Purpose4/5

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

  The description clearly identifies the tool as managing targets (external system connections/integrations) and lists specific supported actions (list, get, create, delete, delete_targets). While 'manage' is a generic verb, the action list provides concrete functionality and distinguishes it from other management tools.

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

  Usage Guidelines3/5

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

  The description implies usage context by framing targets as external connections and listing actions/types, but it does not explicitly state when to use this tool versus alternatives like manage_secrets or manage_account. There are no exclusions or comparative guidance, leaving usage partially implied rather than clearly directed.

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

• manage_gatewaysB
  3.3/5.0
  Behavior2/5

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

  No annotations are provided, so the description must carry the burden of behavioral disclosure. It mentions 'manage gateway infrastructure' but the only supported action is 'list', which is a significant discrepancy. The description does not explicitly state that the tool is read-only, nor does it disclose potential side effects, authentication needs, or limitations beyond the supported action. The listed 'GATEWAY INFORMATION PROVIDED' adds some value, but the internal contradiction between 'manage' and 'list' undermines transparency.

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

  Conciseness3/5

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

  The description uses all-caps headings and bullet lists, making it structured and easy to scan, but it is longer than necessary. Some content, such as the 'GATEWAY INFORMATION PROVIDED' and 'USE CASES' sections, is informative, but phrases like 'GATEWAY MANAGEMENT TOOL' and the repeated references to 'list' and 'manage' add redundancy. It is reasonably concise for the amount of context it provides, but not exceptionally so.

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

  Completeness3/5

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

  The tool has an output schema, so return value details are not required from the description. The description covers use cases, an example, and the supported action, which is adequate for a simple list tool. However, the tool name 'manage_gateways' suggests broader capabilities, and the description does not clarify why only 'list' is available or whether the tool is read-only. Without annotations, the completeness is reasonable but somewhat incomplete for a tool with a misleading name.

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

  Parameters3/5

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

  Schema description coverage is 100%, and the schema already documents each parameter (action, path, filter_by, json) with descriptive text. The description adds only a general mention of 'filtering' and 'list action', which does not meaningfully go beyond the schema. According to the baseline for high schema coverage, a score of 3 is appropriate; the description does not hinder understanding but does not enhance it.

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

  Purpose4/5

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

  The description clearly states the primary action 'list' with the specific resource 'available gateways' and mentions filtering, which distinguishes it from sibling tools. However, the opening line 'Monitor and manage gateway infrastructure' overstates the scope since the only supported action is list, creating mild ambiguity about the tool's actual purpose.

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

  Usage Guidelines4/5

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

  The description provides explicit use cases such as 'Gateway infrastructure monitoring', 'Connection troubleshooting', and 'Performance analysis', giving clear context for when to use the tool. It does not explicitly mention alternatives or exclusions, but the use cases are specific enough to guide appropriate usage, and the sibling tools are largely resource-specific rather than direct alternatives.

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

• manage_customer_fragmentsA
  3.5/5.0
  Behavior3/5

  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 supported actions and mentions security features like encryption and audit trails. It also clarifies that 'download' is an alias for 'export'. However, it does not detail side effects, permissions, whether actions are read-only or mutating, or error behaviors. The description is partially transparent but lacks depth.

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

  Conciseness2/5

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

  The description is overly verbose and filled with marketing fluff like 'ENTERPRISE-GRADE', 'COMPLIANCE AND SECURITY REPORTING', and redundant phrasing. The 'USE CASES' and 'SECURITY FEATURES' sections contain aspirational statements that do not help an AI agent invoke the tool. It could be reduced to a few concise sentences without losing essential information.

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

  Completeness4/5

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

  Given that an output schema exists and parameters are fully covered, the description does not need to explain return values. It covers the main actions, use cases, and security context, which is sufficient for an agent to select the tool for tasks like audit or backup. It lacks some behavioral details like permissions, but overall it is complete enough for a tool of this complexity.

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

  Parameters3/5

  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 does not add significant meaning beyond the schema; it restates that 'list' uses path/filter_by and 'export' uses json. The action parameter description in the schema already covers the action details. Thus, the description adds minimal value beyond structured data.

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

  Purpose4/5

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

  The description clearly states it manages customer fragments, with specific actions (list, export, download) and a resource focus. The verb 'Manage' is somewhat generic, but the action list and context make the purpose clear. It does not explicitly differentiate from sibling tools like manage_dfc_keys or manage_secrets, but the 'customer fragments' resource 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.

  Usage Guidelines4/5

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

  The 'USE CASES' section provides clear context for when to use this tool (e.g., inventory, audit, backup). It does not explicitly state when not to use it or name alternatives, so it misses the full 5-level guidance. However, the use cases are specific enough to guide an agent.

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

• manage_accountA
  3.8/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It describes the categories of information returned, but does not explicitly state that the 'get' action is read-only with no side effects, nor does it mention authentication requirements or potential errors. The verb 'get' implies safety, but explicit disclosure is missing.

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

  Conciseness3/5

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

  The description is well-structured with sections and bullet points, but is somewhat verbose. The 'USE CASES' list partially overlaps with the 'ACCOUNT INFORMATION PROVIDED' list, and the opening line repeats the tool name. It could be trimmed to be more concise without losing value.

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

  Completeness4/5

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

  For a single-action tool with an output schema, the description comprehensively covers the information returned and common use cases. The only notable gap is the missing explicit read-only disclosure, but the 'get' action and detailed data categories sufficiently orient the agent.

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

  Parameters3/5

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

  Schema description coverage is 100% for all three parameters, so the baseline applies. The description adds a usage example ('review account licensing and compliance configuration') but does not provide further parameter semantics beyond the schema. The schema descriptions for 'json' and 'uid_token' already give clear meaning.

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

  Purpose5/5

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

  The description clearly identifies the tool as an account administration tool with an explicit supported action 'get' and enumerates the resource scope (organizational settings, licensing, policies, etc.). This distinguishes it from sibling admin tools that focus on analytics, auth, roles, etc.

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

  Usage Guidelines4/5

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

  The description lists concrete use cases (account setup, compliance, license management, security policy review, service tier evaluation, multi-tenant admin) that signal when to invoke this tool. It does not explicitly name alternatives, but the context is clear enough for an agent to select it appropriately.

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

• manage_auth_methodsA
  3.9/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It discloses destructive actions (delete, delete_auth_methods) and mentions delete protection, access control, and audit logging. However, it does not specify permission requirements or whether deletions are reversible, leaving some behavioral ambiguity.

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

  Conciseness4/5

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

  The description is well-structured with clear sections for supported actions and security features, and it is front-loaded with the tool's purpose. It is somewhat verbose but appropriate for a complex multi-action tool.

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

  Completeness4/5

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

  Given the tool's complexity (23 parameters, multiple actions) and the presence of an output schema, the description covers the main actions, security features, and an example. It lacks explicit prerequisites or error handling, but it is sufficient for most usage scenarios.

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

  Parameters3/5

  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 by mapping actions to the 'action' parameter and highlighting security-related parameters, but it does not explain each parameter in detail beyond the schema.

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

  Purpose5/5

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

  The description clearly states 'AUTHENTICATION METHODS MANAGEMENT TOOL - Create, manage, and secure authentication methods' and enumerates all supported actions (create_api_key, create_email, list, get, update, delete, delete_auth_methods), making purpose explicit and distinguishing it from sibling tools like manage_roles or manage_secrets.

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

  Usage Guidelines4/5

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

  The description provides clear context through SUPPORTED ACTIONS and SECURITY FEATURES, but it does not explicitly state when not to use this tool or name alternative tools. However, the tool's scope is well-defined, so an agent can infer when to use it.

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

• manage_dfc_keysA
  4/5.0
  Behavior3/5

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

  No annotations exist, so the description carries the transparency burden. It discloses several behavioral traits like auto-rotation, soft delete, delete protection, and audit trails, but does not explain side effects (e.g., irreversibility of delete, access-control impact of set_state) or 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.

  Conciseness3/5

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

  Structured into clear sections and bullet points, but it is verbose with marketing-like phrases ('Enterprise-grade key management with audit trails', 'Compliance and governance reporting') and all-caps headings that add noise. The supported actions list partially duplicates the action parameter's schema description.

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

  Completeness4/5

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

  Despite 37 parameters, the schema has 100% coverage and an output schema exists, so the description need not explain return values. The description covers major capabilities (auto-rotation, self-signed certificates, split levels, notification events) adequately, giving an agent enough context to operate the tool.

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

  Parameters4/5

  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 giving concrete algorithm examples (AES128GCM, AES256GCM, RSA2048), rotation interval range (7-365 days), and clarifying concepts like split levels and customer fragments, which supplement the schema.

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

  Purpose5/5

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

  Description states it is a 'DFC KEY MANAGEMENT TOOL' and enumerates concrete actions (create, update, delete, list, set_state, rotate), clearly specifying the resource (DFC keys) and the lifecycle scope. This distinguishes it from sibling manage_* tools like manage_secrets or manage_roles.

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

  Usage Guidelines4/5

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

  The description provides clear context for when to use the tool: for DFC key lifecycle management, with a concrete example and list of supported actions. It does not explicitly mention alternatives or when-not-to-use, but the title and action list make the scope obvious.

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

• manage_analyticsA
  4.1/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the burden. It describes what data is retrieved and the filtering options, but it does not explicitly state that the tool is read-only or non-mutating, nor does it mention pagination, rate limits, or error behavior. The 'get' action implies a safe read operation, but this is not explicitly disclosed.

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

  Conciseness4/5

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

  The description is well-structured with clear sections (SUPPORTED ACTIONS, ANALYTICS COVERAGE, FILTERING OPTIONS, USE CASES, Example). While somewhat verbose, each section provides useful information and the example adds practical clarity. No significant redundancy.

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

  Completeness4/5

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

  Given the tool's complexity (6 params, output schema), the description covers all major elements: supported actions, data coverage, filtering, use cases, and a usage example. It doesn't explain whether filters can be combined or specify output format, but the output schema is available. This is sufficient for tool selection and basic usage.

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

  Parameters4/5

  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 value by elaborating on filter options with examples, noting that filter_by_type uses exact match, and that filter_by_product is essential for multi-product environments. It also explains the 'get' action in context, going beyond the schema descriptions.

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

  Purpose5/5

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

  The description clearly identifies 'ANALYTICS & MONITORING TOOL' and defines the supported action 'get' as retrieving comprehensive monitoring data, usage statistics, and performance metrics. This distinguishes it from sibling management tools by focusing on analytics and reporting rather than resource management.

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

  Usage Guidelines4/5

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

  The 'USE CASES' section lists SOC dashboards, compliance reporting, capacity planning, risk assessment, and executive reporting, providing clear when-to-use context. It doesn't explicitly exclude alternatives but the analytics focus is unique among the sibling tools.

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

• get_api_referenceA
  4.2/5.0
  Behavior4/5

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

  No annotations are provided, so the description carries the transparency burden. It discloses several behavioral aspects: generates code with authentication, error handling, retry logic, token management, and multi-language support. It implies a read-only reference nature but does not explicitly state there are no 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.

  Conciseness4/5

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

  The description is well-structured with clear sections for supported endpoints, integration features, use cases, and an example. While somewhat verbose, every section serves a purpose and the content is organized with bullet points, making it easy to scan.

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

  Completeness5/5

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

  Given the rich output schema and 100% parameter coverage, the description thoroughly covers purpose, supported endpoints, generated features, and usage scenarios. It is complete for an AI agent to understand how and when to use the tool effectively.

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

  Parameters3/5

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

  Schema description coverage is 100%, with detailed parameter descriptions for language, api_endpoint, include_auth, and include_error_handling. The tool description adds context by elaborating on endpoint-specific integration patterns, but this complements rather than significantly extends the schema. Baseline of 3 is appropriate.

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

  Purpose5/5

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

  The description clearly states the tool's purpose: generate production-ready code examples and integration patterns. It lists supported endpoints and integration features, distinguishing it from sibling manage_* tools that handle resource management rather than API reference.

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

  Usage Guidelines4/5

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

  The description provides a dedicated 'USE CASES' section with scenarios like building custom applications, CI/CD integration, microservice auth, and SDK development. It gives clear context for when to use the tool but does not explicitly state when not to use it or name alternatives.

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

• manage_rolesA
  4.2/5.0
  Behavior4/5

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

  No annotations are provided, so the description carries the burden. It discloses read-only behavior via 'Discover and analyze' and the list/get actions, and details the information returned (permissions, access rules, policies). It does not discuss side effects or auth requirements, but for a list/get tool, this is adequate.

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

  Conciseness4/5

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

  The description is well-structured with clear sections for actions, provided information, and use cases. It is a bit longer than necessary, but every section adds value, especially the example. It is front-loaded with the tool's purpose and supported actions.

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

  Completeness5/5

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

  For a read-only role management tool with two actions, the description is complete: it lists actions, role information categories, use cases, and an example. It fully prepares the agent to use the tool correctly, even without an output schema.

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

  Parameters3/5

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

  The input schema has 100% description coverage with detailed parameter docs (e.g., name required for get, filter wildcards). The description adds some context by reinforcing role info and providing an example, but it doesn't go beyond the schema's parameter semantics, so baseline 3 is appropriate.

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

  Purpose5/5

  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 and analyze role-based access control' with two specific actions, list and get. This distinguishes it from sibling manage_* tools by focusing on RBAC discovery and analysis.

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

  Usage Guidelines4/5

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

  The description includes a dedicated USE CASES section and an example, providing clear context for when to use the tool. It does not explicitly mention when not to use it or name alternatives, but the use cases and example are enough for practical guidance.

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

• security_guidelinesA
  4.2/5.0
  Behavior3/5

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

  With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions enterprise-grade security, access control, and audit trails, but does not explicitly state whether actions are read-only or have side effects. The actions listed all appear to be read-only queries, but this is never clarified, leaving room for ambiguity.

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

  Conciseness4/5

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

  The description is well-structured with clear sections for actions, categories, standards, and features, and ends with a practical example. It is somewhat longer than necessary—particularly the 'SECURITY FEATURES' section, which partly repeats capabilities already stated—but the organization makes it easy to scan and the content is largely non-redundant.

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

  Completeness5/5

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

  Given the tool's complexity (9 parameters, 4 actions, multiple categories and standards), the description covers all major aspects: supported actions, categories, compliance standards, and an example. An output schema exists, so the lack of explicit return-value details is acceptable. The description is complete enough for an agent to select and invoke the tool correctly.

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

  Parameters4/5

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

  The schema covers all 9 parameters with descriptions, so the baseline is 3. The description adds value by elaborating on the meaning of 'category' values (e.g., 'best_practices: Security best practices and recommendations') and explaining each compliance standard (SOC2, ISO27001, GDPR, HIPAA), which goes beyond the schema's simple enum lists.

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

  Purpose5/5

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

  The description opens with a clear statement of purpose: 'Comprehensive security guidance and compliance management', then enumerates four distinct actions (get_guidelines, validate, audit, compliance_check). This clearly distinguishes the tool from siblings that manage secrets or auth methods, as it focuses on guidance, validation, and compliance rather than operational management.

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

  Usage Guidelines4/5

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

  The description lists supported actions and categories, and includes an example ('Perform security audit and compliance check for SOC2 requirements'), which provides clear context for when to use the tool. However, it does not explicitly state when not to use it or mention alternative tools, such as manage_secrets, for related but different tasks.

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