Server Quality Checklist

Tool Scores

• generate_mock_asset_batchA
  3.8/5.0
  Behavior3/5

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

  No annotations are provided, so the description must carry the transparency burden. It adds useful behavioral context by stating each PNG has embedded JSON metadata readable by read_image_metadata. However, it does not disclose file-system side effects such as overwriting behavior, required directory existence, or error conditions, which are relevant for a file-generation tool.

  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 short and front-loaded with the main purpose. It has a grammatical flaw ('a spritesheet, Each' fragment) and is somewhat terse, but it avoids unnecessary verbosity and conveys the core capabilities efficiently.

  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?

  The schema is rich and covers all parameters, and the description adds the metadata cross-reference to read_image_metadata. However, for a complex batch file-generation tool, the description does not address return behavior, overwrite semantics, or prerequisites (e.g., existing directories), leaving gaps that are not filled by the schema or annotations.

  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 all parameters. The description adds no parameter-specific semantics beyond mentioning spritesheet and metadata, which are already reflected in schema fields like spritesheetMode and assetDescription. Baseline 3 is appropriate.

  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 'Generates multiple mock 2D PNG assets at once', specifying the verb, resource, and batch scope. It distinguishes itself from the sibling generate_mock_asset through the word 'multiple' and from read_image_metadata by focusing on generation while also linking to metadata.

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

  Usage Guidelines4/5

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

  The description implies usage for batch generation with 'multiple mock 2D PNG assets at once' and mentions output options (individual files or spritesheet), giving clear context. It does not explicitly name alternatives or state when-not-to-use, but the batch orientation is evident.

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

• read_image_metadataA
  4/5.0
  Behavior3/5

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

  No annotations are provided, so the description must carry full behavioral disclosure. It discloses that the tool reads embedded JSON metadata and returns an object with specific fields, but does not mention error behavior for missing files or files not generated by this server. This is adequate for a simple read operation but leaves some edge cases unaddressed.

  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 two sentences, front-loaded with the action, and contains no fluff. Every sentence adds value: the first states what it does and the scope, the second states what is returned.

  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?

  For a simple one-parameter read tool, the description is largely complete. It names the return fields (dimensions, color, shape, description) though there is no output schema, and it clarifies the file type and provenance. It could be more exhaustive about return structure, but given the simplicity, this is slightly above adequate.

  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?

  With 100% schema description coverage, the parameter 'filepath' is already fully documented in the schema. The tool description adds the context that the file must be a PNG generated by this server, but the schema provides the essential meaning. This is the baseline 3.

  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 verb 'Reads' and the specific resource 'embedded JSON metadata from a PNG file', immediately distinguishing this tool from its generation-focused siblings. It also scopes the tool to files generated by this MCP server, which is precise.

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

  Usage Guidelines4/5

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

  The description implies the tool is for reading metadata from already-generated PNG files, contrasting with sibling tools that generate assets. It gives clear context but does not explicitly state when not to use it or name alternatives, so it falls short of a 5.

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

• generate_mock_assetA
  4.1/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the full burden. It discloses several behavioral features (gradients, patterns, text rotation, transparency, auto-scaling) and mentions that JSON metadata is embedded in the PNG. It does not discuss file overwrite behavior or directory handling, but the core generation behavior is transparent.

  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 exactly two sentences, front-loaded with the action verb. It packs capabilities into a compact list and explains the metadata integration without redundancy.

  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 has 24 parameters and no output schema, the description is adequate but has gaps. It provides context about game prototyping and metadata for read_image_metadata, but it does not explicitly mention that a file will be written to disk, nor does it explain prerequisites or relationships to the batch tool beyond 'single'.

  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 description only needs to add marginal value. It does add 'auto-scaling' context for font size and clarifies the metadata fields (dimensions, color, shape, description), but this is not substantial beyond the schema's detailed parameter descriptions.

  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 uses a specific verb 'Generates' with a precise resource: 'single advanced custom mock 2D PNG asset'. It distinguishes from the sibling 'generate_mock_asset_batch' by explicitly stating 'single', and also explains the metadata integration with 'read_image_metadata'.

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

  Usage Guidelines4/5

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

  The description clearly indicates this tool is for generating a single asset, which implies the batch tool is for multiple assets. However, it does not explicitly state when-not-to-use or direct the user to alternatives beyond the implied distinction.

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