Server Quality Checklist

Tool Scores

• generate_marble_linkB
  3.3/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the input constraint 'array of 1-3 projects' and output format 'markdown-formatted links', but lacks critical behavioral details: whether this is a read-only operation, if it makes external API calls, what happens with invalid inputs, or any rate limits. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

  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 perfectly concise at two sentences with zero wasted words. It front-loads the core purpose, specifies input constraints, and describes the output format and use case efficiently. Every sentence earns its place by providing distinct, valuable information.

  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?

  Given the tool's moderate complexity (single parameter with rich nested structure) and 100% schema coverage but no annotations or output schema, the description is adequate but incomplete. It covers the basic purpose and output format but lacks behavioral context about how the tool operates, what the generated links look like, or potential error conditions. The absence of an output schema means the description should ideally explain the return format more thoroughly.

  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%, providing comprehensive documentation of the single parameter 'projects' and its nested object structure. The description adds minimal value beyond the schema, only reiterating the array size constraint '1-3 projects' without explaining why this range exists or how the projects parameter relates to the generated links. 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 tool's purpose: 'generate Marble platform links for learning projects' and specifies the output format 'markdown-formatted links'. It distinguishes itself from siblings by focusing on link generation rather than slide creation or project suggestion. However, it doesn't explicitly contrast with generate_slides_link beyond the different resource types.

  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 stating the links are 'for learning projects' and 'can be inserted into project descriptions', suggesting integration into documentation workflows. However, it provides no explicit guidance on when to use this tool versus the sibling tools generate_slides_link or suggest_learning_projects, nor any prerequisites or exclusions.

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

• suggest_learning_projectsA
  3.8/5.0
  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 outlines the tool's process steps (read code, analyze patterns, generate ideas, return links), which adds useful context beyond basic functionality. However, it lacks details on potential limitations, error handling, or performance aspects like rate limits or authentication needs, leaving some behavioral traits unclear.

  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 appropriately sized and front-loaded, starting with usage triggers and then detailing the tool's steps. Each sentence serves a purpose: the first sets context, the second lists triggers, and the third explains the process. However, it could be slightly more concise by integrating the trigger list more smoothly, but overall it's efficient with minimal waste.

  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?

  Given the tool's complexity (3 parameters, no output schema, no annotations), the description is moderately complete. It explains the tool's purpose, usage, and process, but lacks details on output format (beyond 'formatted Marble platform links'), error cases, or dependencies. Without annotations or output schema, more behavioral context would improve completeness, but it's adequate for basic understanding.

  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 input schema already documents all parameters (topic, codeContext, difficulty) with descriptions and enums. The description doesn't add any additional meaning or examples beyond what the schema provides, such as clarifying how parameters interact or affect output. Thus, it meets the baseline but doesn't 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's purpose: to generate project ideas for learning by analyzing code patterns and technologies. It specifies the verb 'instructs the AI agent to' with steps like 'Read relevant code', 'Analyze patterns', and 'Generate project ideas'. However, it doesn't explicitly differentiate from sibling tools like generate_marble_link or generate_slides_link, which might serve different purposes.

  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 guidelines, stating 'Use this tool when the user wants to PRACTICE or BUILD something to learn' and listing specific trigger phrases such as 'projects', 'practice', 'build something', etc. This gives clear context for when to invoke the tool, though it doesn't mention when not to use it or alternatives, but the trigger list is comprehensive enough for effective selection.

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

• generate_slides_linkA
  4.4/5.0
  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 well by disclosing critical behavioral traits: it explains the 6-paragraph limit for queries, specifies pre-call steps (read code, analyze, summarize), and mandates post-call actions (include the returned link, don't just summarize). However, it doesn't mention rate limits, authentication needs, or error handling.

  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 front-loaded with purpose and triggers, but becomes verbose with detailed instructions (pre-call steps, post-call mandates). While all information is relevant, some sentences could be more streamlined (e.g., combining related points about paragraph limits). It's comprehensive but slightly over-explained.

  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 (requires pre-processing and has specific output handling), no annotations, and no output schema, the description does well by covering purpose, usage, behavioral constraints, and parameter guidance. It lacks details on the returned link format or error cases, but provides sufficient context for effective use.

  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 the baseline is 3. The description adds value by emphasizing the 6-paragraph limit for the 'query' parameter and providing context on how to structure content (focus on quality, include only relevant details). It doesn't add syntax details beyond the schema, but reinforces constraints effectively.

  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 a Marble platform link for interactive learning slides that EXPLAIN or TEACH concepts.' It specifies the verb ('generate'), resource ('Marble platform link'), and distinguishes from siblings by focusing on explanation/teaching slides rather than general links or project suggestions.

  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 triggers with a comprehensive list of phrases ('slides', 'explain', 'teach me', etc.) and clear prerequisites (reading code files, analyzing patterns, summarizing context). It also specifies when to use it versus alternatives by distinguishing it from sibling tools through its teaching focus.

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