Server Quality Checklist

Tool Scores

• generate-qrcode-batchC
  2.9/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden but only states the basic function without disclosing behavioral traits. It doesn't mention output format (e.g., array of data URLs), performance implications of batch generation, error handling for invalid inputs, or any rate limits—critical gaps for a batch operation tool.

  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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and input, making it easy to parse quickly.

  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 no annotations, no output schema, and a batch operation with nested parameters, the description is incomplete. It doesn't explain what the tool returns (e.g., an array of QR codes in the specified format), error conditions, or how batch processing differs behaviorally from single generation, leaving significant gaps for 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 parameters are well-documented in the schema. The description adds minimal value by mentioning 'array of texts or URLs' which aligns with the 'texts' parameter, but doesn't provide additional context beyond what the schema already specifies, meeting the baseline for high coverage.

  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 action ('generate multiple QR codes') and the input source ('from an array of texts or URLs'), which is specific and actionable. However, it doesn't explicitly differentiate from its siblings (generate-qrcode-dataurl, generate-qrcode-svg, generate-qrcode-terminal) which appear to be single-output variants, missing full sibling distinction.

  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 or alternatives. It doesn't mention scenarios like batch processing needs, performance considerations, or differences from the single-output tools, leaving usage context entirely implicit.

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

• generate-qrcode-dataurlB
  3.1/5.0
  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 states the tool generates and returns a QR code, implying a read-only operation, but doesn't cover aspects like performance (e.g., size limits on input text), error handling, or whether it's idempotent. This leaves gaps for a tool with configurable options.

  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 a single, efficient sentence that front-loads the core functionality ('generate a QR code') and specifies the input ('from text or URL') and output ('as a base64 data URL') without any wasted words. Every part earns its place.

  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 (2 parameters with nested objects, no output schema, no annotations), the description is adequate but incomplete. It covers the basic purpose and output format, but lacks usage guidelines, behavioral details, and doesn't compensate for the missing output schema (e.g., what the data URL structure looks like).

  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 fully documents both parameters (text and options with nested properties). The description adds minimal value by mentioning 'text or URL' and 'base64 data URL', but doesn't explain parameter interactions or provide examples. Baseline 3 is appropriate as 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 ('generate'), resource ('QR code'), and output format ('base64 data URL'), which distinguishes it from siblings that produce different formats (SVG, terminal, batch). However, it doesn't explicitly mention that it generates a single QR code versus batch processing, which is a minor gap in sibling differentiation.

  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 (generate-qrcode-batch, generate-qrcode-svg, generate-qrcode-terminal). It doesn't mention use cases like needing a data URL for web embedding versus SVG for vector graphics or batch processing for multiple codes.

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

• generate-qrcode-svgB
  3.1/5.0
  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 output format (SVG) but doesn't describe other behavioral traits like whether this is a read-only operation, potential rate limits, error handling, or what happens with invalid input. For a generation tool with zero annotation coverage, this leaves significant gaps.

  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 a single, efficient sentence that states the core functionality without unnecessary words. It's appropriately sized and front-loaded with the essential 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 (2 parameters, nested objects) and 100% schema coverage but no annotations or output schema, the description is minimally adequate. It covers the basic purpose but lacks behavioral context and sibling differentiation that would make it more complete for agent use.

  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 both parameters (text and options) thoroughly. The description adds minimal value beyond the schema - it mentions 'text or URL' which aligns with the schema's description, but doesn't provide additional context about parameter usage or constraints. Baseline 3 is appropriate when 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 a QR code from text or URL and return it as SVG format.' It specifies the verb (generate), resource (QR code), and output format (SVG). However, it doesn't explicitly differentiate from its siblings (batch, dataurl, terminal variants), which would require a 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 (generate-qrcode-batch, generate-qrcode-dataurl, generate-qrcode-terminal). It doesn't mention alternatives, exclusions, or specific contexts for choosing SVG output over other formats.

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

• generate-qrcode-terminalB
  3.4/5.0
  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 mentions the tool generates and displays a QR code in terminal format, but lacks details on behavioral traits such as error handling, performance characteristics (e.g., speed), or any limitations (e.g., maximum text length). This is a significant gap for a tool with no annotation coverage.

  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 a single, efficient sentence that is front-loaded with the core purpose. Every word earns its place, with no redundant or unnecessary information, making it highly concise and well-structured.

  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 (2 parameters, nested objects) and lack of annotations and output schema, the description is incomplete. It does not explain what the output looks like (e.g., ASCII art format), potential errors, or usage constraints, leaving gaps for effective tool invocation by 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 schema already documents both parameters ('text' and 'options' with 'small' boolean). The description adds minimal value by implying the 'text' parameter can be a URL, but does not provide additional syntax, format details, or context beyond what the schema specifies.

  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 action ('Generate a QR code'), the resource ('from text or URL'), and the specific output format ('display it in terminal format'). It distinguishes from sibling tools by specifying the terminal output format, unlike batch, data URL, or SVG generation 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 specifying 'terminal format,' which suggests this tool is for terminal-based applications. However, it does not explicitly state when to use this tool versus the sibling alternatives (e.g., for CLI vs. web use cases) or any prerequisites, leaving some ambiguity.

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