Server Quality Checklist

Tool Scores

• loadcontextA
  4.5/5.0
  Behavior4/5

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

  With no annotations provided, the description carries full burden and does an excellent job disclosing behavioral traits. It explains the tool adapts output format based on entity type, tracks entity views within sessions, returns formatted markdown, shows relationships between elements, includes status/priority information, and visualizes sequential processes. It also clarifies error behavior when entities don't exist.

  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?

  While well-structured with clear sections, the description is excessively long (over 800 words) with repetitive information. Many sentences in the 'Key features' and 'You should' sections could be consolidated. The front-loaded purpose statement is good, but the description could be significantly more concise 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?

  For a tool with no annotations, no output schema, and 0% schema coverage, the description provides comprehensive context. It details what information each entity type returns, explains status/priority systems, describes sequential relationships, and specifies the return format. The main gap is not explicitly stating this is a read-only operation, though it's implied by 'only retrieves existing information'.

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

  Parameters5/5

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

  With 0% schema description coverage and 3 parameters, the description fully compensates by providing detailed parameter explanations. It clearly explains entityName (required, with examples), entityType (optional, default value, common types), and sessionId (optional, purpose, typical source). The description adds substantial meaning beyond what the bare schema provides.

  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 as 'retrieving rich, contextual information about qualitative research entities' and distinguishes it from sibling tools by specifying it only retrieves existing information while 'buildcontext' adds new entities. The verb 'retrieving' is specific and the resource 'qualitative research entities' is well-defined.

  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 extensive explicit guidance on when to use this tool, including a dedicated 'When to use this tool' section with 13 specific scenarios, plus a 'You should' section with 15 actionable recommendations. It clearly distinguishes from alternatives by stating 'use buildcontext to add new entities' and mentions using 'in conjunction with startsession'.

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

• startsessionA
  4.5/5.0
  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 thoroughly explains what the tool does: generates a session ID, retrieves and displays various research elements (projects, participants, codes, memos, tasks, activities), formats information for orientation, and integrates with loadcontext. It details return information structure, status/priority values, sequential processes, and session workflow. However, it doesn't explicitly mention potential limitations like data freshness or error conditions, keeping it from a perfect score.

  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 excessively long (over 600 words) with repetitive sections (e.g., 'Key features' and 'Return information' overlap, 'You should' reiterates earlier points). While well-structured with headings, it includes unnecessary details like specific status value lists and step-by-step workflows that could be condensed. The core purpose and usage are clear but buried in verbosity.

  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 (initializing research sessions with multiple data types) and lack of annotations/output schema, the description is exceptionally complete. It covers purpose, usage, behavioral details, return information structure, status/priority systems, sequential processes, workflow integration with siblings, and actionable guidelines. No critical gaps exist for an agent to understand and use the tool effectively.

  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 has 0 parameters with 100% coverage, so the baseline is 4. The description adds value by explicitly stating 'No parameters required - the tool automatically retrieves all relevant context,' which clarifies the parameterless nature beyond what the empty schema implies. This prevents confusion about missing inputs.

  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 explicitly states the tool's purpose as 'initializing a new qualitative research session' and 'providing structured information about ongoing research projects, participants, analytical elements, and recent research activities.' It clearly distinguishes this from sibling tools like loadcontext (for deeper exploration) and endsession (for recording progress), establishing it as the entry point for research sessions.

  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 includes a dedicated 'When to use this tool' section with 13 specific scenarios (e.g., 'Beginning a new research analysis session,' 'Getting oriented to your current research state'), and a 'You should' section with 13 actionable guidelines (e.g., 'Begin each focused research period with startsession,' 'Use the session ID when using other tools'). It explicitly positions startsession as the first step in a workflow that includes loadcontext and endsession, providing clear alternatives and sequencing.

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

• buildcontextA
  4.6/5.0
  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 effectively describes key traits: it's a creation tool (implying mutation), validates entity and relation types, handles batch operations, returns confirmation details, ensures data typing, and includes error handling with descriptive messages. However, it lacks explicit mention of permissions 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.

  Conciseness3/5

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

  The description is well-structured with clear sections (e.g., 'When to use', 'Key features', 'Parameters explained'), but it is overly verbose at approximately 700 words. Some sections, like the detailed lists of valid types, could be condensed without losing clarity, making it less front-loaded and efficient.

  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 (2 parameters, no annotations, no output schema), the description is highly complete. It covers purpose, usage, parameters, valid types, status/priority info, return details, error handling, and best practices, providing all necessary context for an agent to use the tool effectively without an output schema.

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

  Parameters5/5

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

  Schema description coverage is 100%, but the description adds significant value beyond the schema. It explains the 'type' parameter's three options and details the 'data' parameter's structure for each type, including valid entity types, relation types, status values, and priority values, providing comprehensive semantic context not in 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 the tool's purpose: constructing and enhancing a qualitative research knowledge graph by adding new research elements, relationships, and observations. It specifies the verb ('constructing and enhancing') and resource ('qualitative research knowledge graph'), distinguishing it from siblings like deletecontext or loadcontext.

  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 includes an explicit 'When to use this tool' section with 12 specific scenarios, such as creating entities, establishing relationships, and adding observations. It also provides a 'You should' section with 12 actionable guidelines, like using consistent naming conventions and beginning with projects and participants, offering clear context and alternatives.

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

• endsessionA
  4.6/5.0
  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 effectively describes the tool's multi-stage sequential workflow, revision capabilities, status/priority management, and what happens upon completion (e.g., records in persistent storage, creates formatted summary). It details valid status values and priority levels. However, it lacks explicit mention of error conditions, rate limits, or authentication requirements, though these may be inferred from context.

  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 clear sections (purpose, usage, features, stages, parameters, management, completion, returns, instructions). However, it is excessively long (over 800 words) with repetitive elements (e.g., 'Key features' and 'The endsession tool uses...' both list stages). Some details, like the 13-item usage list, could be more concise. While informative, it risks overwhelming the reader with verbosity.

  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 high complexity (9 parameters, nested objects, multi-stage workflow) and no annotations or output schema, the description is exceptionally complete. It covers purpose, usage, behavioral traits, parameter semantics, return structure, and practical instructions. The detailed explanation of stages, status values, and completion outcomes provides all necessary context for an agent to invoke the tool correctly, fully compensating for the lack of structured metadata.

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

  Parameters5/5

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

  Despite 100% schema description coverage, the description adds significant value beyond the schema. It provides a detailed 'Parameters explained' section with examples for each parameter, clarifies stage-specific data structures with concrete examples (e.g., interviewData structure), explains the purpose of each stage, and notes dependencies like sessionId from startsession. This compensates for the schema's generic descriptions and enhances understanding of complex nested objects.

  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 as 'documenting qualitative research sessions, recording analysis progress, tracking coding activities, and creating a structured record of research evolution.' It specifies a multi-stage workflow with 8 distinct stages, distinguishing it from sibling tools like startsession (which presumably initiates sessions) and loadcontext (which visualizes sequences). The verb+resource combination is explicit and comprehensive.

  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 guidance on when to use this tool with a dedicated 'When to use this tool' section listing 13 specific scenarios (e.g., 'Concluding a qualitative research analysis session,' 'Documenting interview data collection activities'). It implicitly distinguishes from alternatives by focusing on session conclusion rather than initiation (startsession) or context management (loadcontext, buildcontext). The guidance is thorough and context-specific.

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

• deletecontextA
  4.7/5.0
  Behavior5/5

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

  With no annotations provided, the description carries full burden and delivers comprehensive behavioral disclosure. It details deletion permanence ('Entity deletion is permanent'), cascading effects, validation processes, batch capabilities, return format, safety considerations, and specific behavioral traits for each deletion type including impact on related elements.

  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?

  While well-structured with clear sections, the description is excessively long with redundant information. Many points are repeated across sections (e.g., safety considerations appear multiple times). Some sentences in the 'You should' section could be consolidated or eliminated without losing essential guidance.

  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 destructive tool with no annotations and no output schema, the description provides exceptional completeness. It covers purpose, usage scenarios, parameter semantics, behavioral details, safety considerations, return format, and integration with sibling tools. Every aspect needed for safe and effective use is addressed.

  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%, establishing a baseline of 3. The description adds substantial value with a dedicated 'Parameters explained' section that elaborates on how the 'data' parameter structure varies by type, provides examples, and explains interpretation differences. It also includes 'Deletion behavior by type' that clarifies semantic implications.

  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: 'removing elements from the qualitative research knowledge graph' with specific verbs ('removing', 'deleting', 'clearing') and distinguishes it from siblings by focusing on deletion operations. It explicitly mentions using it 'in conjunction with buildcontext' for refinement.

  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 extensive explicit guidance with a dedicated 'When to use this tool' section listing 12 specific scenarios, plus additional 'You should' recommendations. It distinguishes when to use different deletion types and mentions alternatives like using 'observation deletion for minor corrections rather than removing entire entities'.

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

• advancedcontextA
  4.8/5.0
  Behavior5/5

  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 and does so comprehensively. It explains the JSON response structure, error handling, specialized operations, search capabilities, filtering options, and various query behaviors. It provides extensive context about what the tool returns and how it processes different query types, far exceeding minimum requirements.

  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?

  While well-structured with clear sections, the description is excessively long (over 800 words) with repetitive content. The 'Key features' section largely restates what's in other sections, and some operational details could be more concise. However, the information is front-loaded with purpose and usage guidelines, and each section serves a distinct purpose despite the length.

  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 complex query tool with 2 parameters, no annotations, and no output schema, the description provides exceptional completeness. It covers all query operations, parameter semantics, response formats, error handling, usage patterns, and behavioral characteristics. The description fully compensates for the lack of structured metadata and provides everything needed to understand and use this tool effectively.

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

  Parameters5/5

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

  Despite 100% schema description coverage, the description adds substantial value beyond the schema. It provides detailed explanations of all 15 possible 'type' values (schema only lists 12), describes the varying 'params' structures for each type with specific examples, explains how parameters are interpreted differently based on type, and provides operational details for each query type that aren't captured in 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 the tool is a 'sophisticated query tool for exploring, analyzing, and retrieving complex information from the qualitative research knowledge graph.' It specifies the exact resource (qualitative research knowledge graph) and distinguishes from siblings like buildcontext, deletecontext, loadcontext by focusing on querying rather than modifying or managing sessions.

  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 includes an explicit 'When to use this tool' section with 14 specific scenarios, plus a 'You should' section with 12 actionable recommendations. It provides clear guidance on when to use different query types (e.g., 'Start with broad queries...', 'Use specific entity queries...') and distinguishes this tool from sibling tools by focusing on query operations rather than context management or session control.

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