Server Quality Checklist

Tool Scores

• item_operationsC
  2.5/5.0
  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 mentions 'CRUD operations' and 'advanced query', but fails to describe critical behaviors like authentication needs, rate limits, error handling, or what 'stats' returns. For a tool with 17 parameters and multiple actions, this leaves significant gaps in understanding how it behaves.

  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 a single sentence that efficiently lists capabilities ('create, get, list, edit, delete, stats') and mentions 'CRUD operations and advanced query'. However, it's front-loaded with a broad claim ('通用工具') and could be more structured to highlight key use cases or differentiate from siblings, making it adequate but not optimally concise.

  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?

  Given the tool's high complexity (17 parameters, 6 actions), no annotations, and no output schema, the description is insufficient. It doesn't explain return values, error conditions, or behavioral nuances like how 'edit' with 'operation' works. The agent must rely heavily on the input schema, leaving gaps in understanding the tool's full context.

  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%, so the schema already documents all 17 parameters thoroughly with descriptions and enums. The description adds no additional parameter semantics beyond what's in the schema, such as explaining dependencies between parameters (e.g., 'id' is required for 'get' but not 'create'). Baseline 3 is appropriate when the schema does the heavy lifting.

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

  Purpose3/5

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

  The description states the tool performs 'CRUD operations and advanced query functions' on 'JSON or templates', which gives a general purpose. However, it's vague about what specific resources it operates on ('JSON or templates' is broad) and doesn't distinguish from sibling tools like 'batch_generate_json' or 'export_to_file'—it's unclear when to use this versus those alternatives.

  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?

  No guidance is provided on when to use this tool versus its siblings ('batch_generate_json', 'export_to_file'). The description mentions 'advanced query function' but doesn't specify contexts or exclusions, leaving the agent to infer usage from the parameter schema alone.

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

• batch_generate_jsonB
  3.1/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions support for template-based and rule-based generation, but doesn't describe critical behaviors like whether this is a read-only or mutating operation, what permissions are required, rate limits, error handling, or what the output looks like. For a tool with no annotations and complex parameters, 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.

  Conciseness4/5

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

  The description is concise and well-structured in two sentences. The first sentence states the core purpose, and the second provides usage scenarios. There's no wasted text, and it's front-loaded with the main functionality.

  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?

  Given the tool's complexity (4 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It doesn't explain what the tool returns, how errors are handled, or behavioral constraints. For a data generation tool with significant parameter complexity, more context is needed to help an agent use it 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%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema, mentioning '基于现有模板生成或根据规则动态生成' (generate based on existing templates or dynamically based on rules), which loosely maps to 'template_id' and 'rules' parameters. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

  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's purpose: '根据模板和规则批量生成JSON数据' (batch generate JSON data based on templates and rules). It specifies the verb (generate), resource (JSON data), and scope (batch). However, it doesn't explicitly differentiate from sibling tools like 'export_to_file' or 'item_operations', which might have overlapping functionality.

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

  Usage Guidelines3/5

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

  The description provides some usage context: '适用于测试数据生成、批量数据处理等场景' (suitable for test data generation, batch data processing, etc.). This implies when to use the tool, but it doesn't explicitly state when NOT to use it or mention alternatives like sibling tools. The guidance is helpful but not comprehensive.

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

• export_to_fileB
  3.2/5.0
  Behavior2/5

  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 some behavioral traits like automatic directory creation and support for absolute/relative paths, but it doesn't cover critical aspects such as whether this is a destructive operation (e.g., file overwriting), error handling, permissions needed, or rate limits. For a write operation with zero annotation coverage, this is a significant gap.

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

  Conciseness5/5

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

  The description is appropriately sized with two sentences that are front-loaded and efficient. Every sentence adds value: the first states the core purpose and key features, and the second provides practical details on path handling and directory creation, with zero waste.

  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?

  Given the complexity (a write operation with 5 parameters, no annotations, and no output schema), the description is incomplete. It lacks information on behavioral aspects like destructiveness, error handling, and output format details. Without annotations or an output schema, the description should do more to compensate, but it falls short, leaving gaps for a tool that modifies files.

  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 mentioning '支持多种格式和插入位置' (supports multiple formats and insertion positions), which loosely relates to 'format' and 'insert_line' parameters, but doesn't provide additional syntax or meaning. Baseline 3 is appropriate when the schema does the heavy lifting.

  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 ('导出' meaning export) and resource ('JSON数据' meaning JSON data) to a file, specifying the action and target. It distinguishes from siblings by focusing on file export rather than JSON generation (batch_generate_json) or item operations (item_operations). However, it doesn't explicitly mention that it's for writing/creating files, which could be slightly more specific.

  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 by mentioning support for multiple formats and insertion positions, and it references item_operations for viewing JSON IDs, providing some context. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., batch_generate_json for creating JSON vs. exporting existing JSON), and no exclusions or prerequisites are stated.

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