Server Quality Checklist

Tool Scores

• azure_serviceC
  2.8/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden for behavioral disclosure. While it lists services and actions, it doesn't explain what 'interact' entails - whether operations are read-only or mutating, authentication requirements, rate limits, error behaviors, or response formats. For a complex multi-service tool with potential write operations (e.g., setKeyValue, createKey), this is a significant gap.

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

  Conciseness3/5

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

  The description is appropriately sized but poorly structured. The initial sentence is clear, but the extensive bullet-like listing of services and actions could be better organized. While all content is relevant, the presentation lacks hierarchy and some redundancy exists (e.g., 'list' appears for nearly every service).

  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?

  For a complex tool supporting 8 services with 3-8 actions each, no output schema, and no annotations, the description is incomplete. It lists available operations but doesn't explain what they return, how to interpret results, error handling, or authentication requirements. The gap between tool complexity and description detail is substantial.

  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 schema already documents all three parameters. The description adds some value by listing service options and example actions, but doesn't provide additional semantic context beyond what's in the schema. The mention of 'required params for each action' is too vague to significantly enhance parameter understanding.

  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 tool 'interacts with specific Azure services' and lists all eight supported services, providing a specific verb ('interact') and resource scope ('Azure services'). However, it doesn't explicitly distinguish this tool from its siblings (get_azure_context, manage_azure_resources), which would be needed for a score of 5.

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

  Usage Guidelines2/5

  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 its siblings (get_azure_context, manage_azure_resources). It lists available services and actions but offers no context about appropriate use cases, prerequisites, or exclusions. The final sentence about passing required parameters is operational rather than guidance.

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

• get_azure_contextA
  3.9/5.0
  Behavior4/5

  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 successfully describes important behavioral traits: the 5-minute default caching behavior and the bypass_cache parameter for fresh data. It also provides concrete examples of how to use custom queries. However, it doesn't mention authentication requirements, rate limits, or error conditions.

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

  Conciseness5/5

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

  The description is well-structured with clear sections (TYPES, CACHING, EXAMPLES) and front-loaded with the core purpose. Every sentence earns its place by providing essential information. The examples are specific and helpful without being verbose.

  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 tool with 5 parameters, 80% schema coverage, and no output schema, the description provides good contextual coverage. It explains the different query types, caching behavior, and provides practical examples. However, without annotations or output schema, it could benefit from mentioning what format the results return in or any authentication requirements.

  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?

  With 80% schema description coverage, the baseline would be 3, but the description adds significant value beyond the schema. The TYPES section clarifies what each query_type option returns, and the examples provide practical context for custom_query usage. The caching behavior explanation gives meaning to bypass_cache beyond the schema's 'Force fresh data' description.

  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 verb ('Retrieves') and resource ('Azure environment context'), making the purpose immediately understandable. It distinguishes itself from sibling tools like 'azure_service' and 'manage_azure_resources' by focusing on context retrieval rather than service operations or resource management. However, it doesn't explicitly contrast with siblings in the description text itself.

  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 provides implied usage guidance through the TYPES section and examples, showing when to use different query types. However, it lacks explicit direction on when to choose this tool over alternatives like 'azure_service' or 'manage_azure_resources', and doesn't mention any prerequisites or exclusions for usage.

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

• manage_azure_resourcesA
  4.2/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it mentions safety ('Commands validated for injection. Destructive ops flagged HIGH risk.') and audit logging ('All ops logged with operator email and correlation ID.'). However, it lacks details on rate limits, error handling, or response formats, which would enhance transparency further.

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

  Conciseness5/5

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

  The description is highly concise and well-structured, using clear sections (FLOW, SAFETY, AUDIT) with bullet-like formatting. Every sentence adds critical information without redundancy, making it easy to scan and understand quickly.

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

  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 (executing Azure CLI commands with safety and audit considerations) and no output schema, the description is fairly complete: it covers usage flow, safety, and logging. However, it lacks details on output format, error cases, or prerequisites, which would be helpful for a tool with no annotations or 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?

  Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema by implying the purpose of 'execute_now' in the flow, but it doesn't provide additional semantic context for 'command' or 'explanation' that isn't already in the schema descriptions.

  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 this is the 'Primary tool for all Azure operations via CLI,' which establishes it as the main interface for executing Azure commands. However, it doesn't explicitly differentiate from sibling tools like 'azure_service' or 'get_azure_context'—it implies but doesn't state that this is for command execution while others might be for service management or context retrieval.

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

  Usage Guidelines5/5

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

  The description provides explicit usage guidance with a step-by-step flow: '1) Call with execute_now=false for plan 2) Review risk 3) Call with execute_now=true to execute.' This clearly indicates when to use the tool (for planning vs. execution) and implies alternatives by referencing risk review, though it doesn't name specific sibling tools as alternatives.

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