Server Quality Checklist

Tool Scores

• add-noteC
  2.6/5.0
  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. 'Add a new note' implies a write operation, but it doesn't specify permissions, side effects, error handling, or response format. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

  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 extremely concise with a single sentence 'Add a new note', which is front-loaded and wastes no words. It efficiently communicates the core action without unnecessary detail, 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 the complexity of a mutation tool with 2 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, parameter meanings, and expected outcomes, making it inadequate for an agent to use the tool effectively without additional context.

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

  Parameters2/5

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

  The schema description coverage is 0%, meaning parameters 'name' and 'content' are undocumented in the schema. The description adds no information about these parameters—it doesn't explain what 'name' and 'content' represent, their formats, or constraints. This fails to compensate for the low schema coverage.

  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 'Add a new note' clearly states the action (add) and resource (note), making the purpose understandable. However, it lacks specificity about what kind of note or system this applies to, and it doesn't distinguish from sibling tools like 'add-sudoku' or 'solve-sudoku', which are unrelated but share the 'add' prefix.

  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 alternatives. There are no explicit instructions on prerequisites, context, or exclusions, and it doesn't reference sibling tools or other options for note-related operations. This leaves the agent with minimal context for appropriate tool selection.

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

• solve-sudokuC
  2.6/5.0
  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 states the tool solves puzzles but does not describe how (e.g., algorithm, constraints), what happens on success/failure, or any side effects (e.g., whether it modifies stored data). This leaves significant gaps in understanding the tool's behavior.

  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 a single, efficient sentence with no wasted words, making it front-loaded and easy to parse. However, it is overly concise, bordering on under-specification, as it omits necessary context for effective use, slightly reducing its utility.

  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 (solving a puzzle), lack of annotations, no output schema, and incomplete behavioral transparency, the description is insufficient. It does not explain what the tool returns (e.g., solved puzzle, success status) or how it interacts with siblings, leaving the agent with incomplete information for reliable 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%, with the parameter 'name' documented as 'Name of the puzzle to solve'. The description does not add meaning beyond this, such as explaining name format or referencing sibling tools. With high schema coverage, the baseline score of 3 is appropriate, as the schema handles parameter documentation adequately.

  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 'Solve a Sudoku puzzle' clearly states the action (solve) and resource (Sudoku puzzle), making the purpose understandable. However, it lacks specificity about what constitutes a puzzle (e.g., a stored puzzle by name) and does not differentiate from sibling tools like 'solve-sudoku-text', leaving room for ambiguity.

  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 alternatives. The description does not mention prerequisites (e.g., needing a puzzle stored via 'add-sudoku'), exclusions, or comparisons to siblings like 'solve-sudoku-text', leaving the agent to infer usage from context alone.

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

• add-sudokuC
  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 action ('Add') without disclosing behavioral traits. It doesn't mention whether this is a write operation, what permissions are needed, how errors are handled, or what happens on success, leaving critical behavioral aspects unspecified.

  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 with zero wasted words, making it easy to parse and front-loaded with the core action. It appropriately sized for a simple tool without over-explaining.

  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 incomplete schema coverage (50%), the description is inadequate. It doesn't compensate for the lack of structured data by explaining what the tool returns, error conditions, or behavioral context, leaving significant gaps for a mutation tool.

  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 50% (only 'puzzle' has a description), and the description adds no parameter details beyond what the schema provides. It implies parameters for name and puzzle but doesn't explain their semantics, formats, or constraints, resulting in minimal added value over the schema.

  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 ('Add') and resource ('a new Sudoku puzzle'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'add-note' or 'solve-sudoku', but the specific mention of 'Sudoku puzzle' provides adequate clarity for the domain.

  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 alternatives like 'solve-sudoku' or 'add-note'. The description lacks context about prerequisites, such as whether this is for creating puzzles versus solving them, leaving the agent to infer usage from tool names alone.

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

• solve-sudoku-textC
  2.9/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries full burden for behavioral disclosure. While 'solve' implies a computational operation, the description doesn't reveal any behavioral traits such as computational complexity, timeout risks, error handling, or what happens with invalid input. This leaves significant gaps for an agent to understand how the tool behaves.

  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 extremely concise (just 6 words) and front-loaded with the core purpose. Every word earns its place, with no wasted verbiage or structural issues.

  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 computational nature of Sudoku solving (which can involve complex algorithms and potential failures), the description is insufficient. With no annotations, no output schema, and minimal behavioral disclosure, an agent lacks crucial context about what the tool returns, how it handles edge cases, or what constitutes valid input beyond the basic parameter documentation.

  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%, with the single parameter 'puzzle' clearly documented in the schema. The description adds no additional parameter semantics beyond what the schema already provides, so it meets the baseline for adequate but unenhanced parameter documentation.

  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 with a specific verb ('solve') and resource ('Sudoku puzzle from text input'), making it immediately understandable. However, it doesn't distinguish this tool from its sibling 'solve-sudoku', leaving some ambiguity about when to use each variant.

  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 alternatives. With a sibling tool named 'solve-sudoku' (without the '-text' suffix), there's clear ambiguity about which tool to choose for different scenarios, but the description offers no clarification.

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