Server Quality Checklist

Tool Scores

• bake_recipeC
  2.9/5.0
  Behavior2/5

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

  No annotations provided, so the description must carry full behavioral burden. It describes the action (bake/execute) but fails to disclose side effects, data mutability, or required permissions. Essential traits like destructiveness or state changes are absent.

  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?

  Description is short and front-loaded with the action, followed by param docs. No wasted words, though param docs could be more precise.

  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?

  Missing critical context: no output schema, no explanation of return values, ordering of operations, error handling, or relationship to sibling tools. For a tool with two required params and no annotations, this is insufficient for an AI agent to use correctly.

  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 description adds basic param meaning: input_data is the data to operate on, recipe is the list of operations. However, it inaccurately calls recipe a 'pydantic model' when it's an array, and lacks detailed guidance on constructing the recipe. With 0% schema coverage, this is only modestly helpful.

  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 bakes/executes a recipe to derive an outcome from input data. It distinguishes from siblings like batch_bake_recipe who likely processes multiple recipes, but does not explicitly differentiate.

  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 on when to use this tool versus alternatives. The description implies usage for executing a single recipe, but lacks conditions, prerequisites, or exclusions.

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

• batch_bake_recipeC
  2.9/5.0
  Behavior2/5

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

  No annotations provided, so the description carries the full burden. It states it executes/derives outcomes but does not disclose side effects, permissions required, error handling, or return behavior. For a mutation tool, this is insufficient.

  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?

  Reasonably concise with a clear purpose statement followed by parameter descriptions. The docstring style is appropriate, though the :param lines are somewhat redundant with the schema.

  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?

  Missing critical context: no output schema, no error behavior, no mention of batch vs single differences. Given the complexity of executing recipes on batches, more detail is needed to ensure correct usage.

  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 coverage is 0%, so the description adds value by explaining parameters: 'batch_input_data' as the batch to operate on, 'recipe' as a list of operations. However, it lacks details like allowable data types (already in schema) or constraints on recipe structure.

  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 it bakes/executes a recipe on batch input data. The verb 'Bake' is specific, and the resource 'recipe' is well-defined. However, it does not explicitly differentiate from sibling tools like 'bake_recipe' (single vs batch).

  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 on when to use this tool versus its siblings (bake_recipe, perform_magic_operation). Lacks context for appropriate invocation scenarios or alternatives.

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

• perform_magic_operationB
  3.2/5.0
  Behavior3/5

  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 'speculative execution' and that intensive_mode takes longer, providing some behavioral insight. However, it lacks details on side effects, authentication needs, or 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 a docstring with parameter explanations, which is structured but somewhat verbose. It could be more concise by separating the core function from parameter details.

  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?

  With 5 parameters, no output schema, and complex behavior, the description covers parameter purposes but does not explain return values or constraints. It is adequate but not fully complete.

  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 0%, but the description explains each parameter: input_data, depth, intensive_mode, extensive_language_support, and crib_str. This adds significant meaning beyond the schema's raw fields.

  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 that the tool automatically detects encoding and operations to decode data, which is a specific verb-resource purpose. It distinguishes from sibling tools like bake_recipe and batch_bake_recipe by focusing on automatic detection rather than direct baking.

  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 sibling tools present, there is no explicit mention of trade-offs or exclusion criteria.

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