Server Quality Checklist

Tool Scores

• FLUX_1-schnell-inferD
  1.7/5.0
  Behavior1/5

  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. However, it offers no information about what the tool does (e.g., image generation, inference), side effects, rate limits, authentication needs, or output format. This leaves the agent completely in the dark about 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.

  Conciseness2/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  While concise with a single sentence, the description is under-specified and fails to convey essential information. It does not front-load key details (e.g., purpose), making it inefficient rather than appropriately concise. The sentence does not earn its place by adding value.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness1/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the complexity of a 6-parameter tool with no annotations and no output schema, the description is severely incomplete. It does not explain what the tool does, its inputs/outputs, or behavioral traits, leaving critical gaps for the agent to understand and invoke it 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?

  Schema description coverage is 100%, with all parameters documented in the input schema (e.g., 'prompt', 'seed', 'width'). The description adds no additional meaning or context beyond what the schema provides, such as explaining how parameters interact or their impact on results. This meets the baseline score of 3 for high schema coverage.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose2/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description 'Call the FLUX.1-schnell endpoint /infer' is tautological—it restates the tool name without explaining what the tool actually does. It lacks a specific verb and resource (e.g., 'generate images from text prompts using a FLUX model'), making it vague and unhelpful for distinguishing from siblings like 'available-files' or 'search-spaces'.

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

  Usage Guidelines1/5

  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 context, prerequisites, or exclusions, leaving the agent with no clues about appropriate usage scenarios or how it differs from sibling tools.

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

• available-filesA
  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 full burden. It discloses the return format (markdown table with specific fields) which is valuable behavioral information. However, it doesn't mention important traits like whether this is a read-only operation, if it requires authentication, rate limits, or pagination behavior. The description adds some context but 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 perfectly concise and well-structured in two sentences. The first sentence states the purpose and usage guidelines, while the second specifies the return format. Every word earns its place with zero waste or 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 no annotations and no output schema, the description provides the return format which is essential. However, for a tool that lists resources, it doesn't mention important contextual details like whether it returns all files or is filtered/scoped, sorting behavior (especially relevant for 'most recent' queries), or error conditions. The description is adequate but has clear gaps.

  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?

  The tool has 0 parameters with 100% schema description coverage. The description doesn't need to explain any parameters, and it appropriately doesn't attempt to do so. A baseline of 4 is appropriate since there are no parameters to document, and the description focuses on its actual purpose rather than parameter details.

  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 list available files and resources, with specific examples of user requests that should trigger its use. It distinguishes itself from sibling tools (FLUX_1-schnell-infer and search-spaces) by focusing on file enumeration rather than inference or space searching. However, it doesn't explicitly contrast with these siblings, keeping it from a perfect score.

  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 provides clear usage context: 'If the User requests things like 'most recent image' or 'the audio' use this tool to identify the intended resource.' This gives explicit when-to-use guidance with concrete examples. It doesn't mention when NOT to use it or explicitly name alternatives among siblings, preventing a score of 5.

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

• search-spacesA
  4/5.0
  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. It discloses that results are returned in markdown table format and provides guidance about presenting results and awaiting further instructions, which adds useful behavioral context. However, it doesn't mention rate limits, authentication requirements, 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.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is efficiently structured in three sentences, each serving a distinct purpose: stating the tool's function, providing usage guidance, and giving operational instructions. There's no wasted language or redundancy.

  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 single-parameter search tool with no annotations and no output schema, the description provides good coverage of purpose, usage context, and behavioral guidance. It could be more complete by mentioning what happens with no results or error conditions, but it adequately covers the core functionality.

  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 the single 'query' parameter. The description adds some context about the expected format ('3-7 words describing a task or activity'), but doesn't provide additional syntax or format details beyond what the schema provides. 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.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the specific action ('Use semantic search to find an endpoint'), the target resource ('Hugging Face Spaces service'), and distinguishes it from siblings by focusing on semantic search rather than file listing or inference. It provides a complete picture of what the tool does.

  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 provides clear context about when to use this tool ('search term will usually be 3-7 words describing a task or activity'), but doesn't explicitly mention when not to use it or name specific alternatives. The guidance to 'Present all results to the Person' and 'Await specific guidance before making further Tool calls' gives operational context.

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