Server Quality Checklist

Tool Scores

• chroma_db_demoB
  3.2/5.0
  Behavior2/5

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

  Without annotations, the description must disclose behavioral traits but only states that it sets up and queries, without detailing side effects, mutability, or return structure. This is insufficient for an agent to anticipate consequences.

  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 minimal and well-organized with clear Args and Returns sections. Every sentence contributes value with no 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?

  The description gives a general overview but lacks specifics about the demonstration output or how it relates to the sibling tools. For a demo tool with no output schema, more detail on expected results would improve completeness.

  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?

  Although the schema provides no description for the parameter, the tool description explicitly explains sample_texts as an optional list with default fallback behavior, compensating for the low schema coverage. This adds meaningful semantics.

  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 demonstrates ChromaDB with LangChain integration, which is a specific verb-resource pair. However, it doesn't explicitly distinguish itself from sibling tools like setup_chroma_db or query_chroma_db, so it lacks 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?

  No guidance is provided on when to use this tool versus the sibling tools. It neither mentions alternatives nor gives context for appropriate usage, leaving the agent to infer.

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

• query_chroma_dbA
  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 carries the full burden. It indicates the tool returns a list of documents, implying a read operation, and mentions the LangChain integration. However, it does not explicitly state read-only behavior, prerequisites like an existing persisted DB, or possible side effects, leaving some ambiguity.

  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 concise and well-structured, with an overview, Args, and Returns sections. It includes the default for top_k and avoids filler, ensuring every sentence contributes useful information.

  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 tool with 3 parameters, no output schema, and no annotations, the description adequately covers purpose, parameters, and return format. It might benefit from noting prerequisites like a pre-existing database or read-only nature, but overall it is sufficiently complete for an agent to invoke it correctly.

  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%, so the parameter descriptions in the tool description are essential. Each parameter is explained with meaningful context (e.g., query is the search string, persist_directory is the path, top_k has a default), which goes beyond the raw schema property names and types.

  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 queries a ChromaDB vector database using LangChain integration, which is a specific verb+resource pairing. It is distinct from siblings like setup_chroma_db and chroma_db_demo, which are for setup and demonstration respectively.

  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 for querying an existing vector database but does not explicitly state when to use it over alternatives. No exclusions or alternative tool references are mentioned, making the guidance implicit rather than explicit.

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

• setup_chroma_dbA
  4.1/5.0
  Behavior3/5

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

  With no annotations, the description must bear the full burden. It discloses key behavior: in-memory database if persist_directory is None, and the return format. However, it omits side effects like directory creation, potential overwriting, or model dependencies. This is partial disclosure.

  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 structured with Args and Returns, front-loaded with the purpose, and every sentence adds value. It is concise without wasted words.

  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?

  Given the lack of output schema, the description appropriately explains the return dict with retriever info and success status. It covers parameters and persistence behavior, but could mention prerequisites or integration steps; still, it is largely complete for a setup tool.

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

  Parameters5/5

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

  Schema description coverage is 0%, but the description meticulously explains each parameter: texts to embed, metadatas as optional corresponding dicts, and persist_directory with the in-memory fallback. This fully compensates for the schema gap.

  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 states a clear verb ('Set up') and specific resource ('ChromaDB vector database with LangChain integration'). This distinguishes it from sibling tools like query_chroma_db and chroma_db_demo, which focus on querying and demonstration.

  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 does not explicitly state when to use this tool versus alternatives. The setup verb and sibling names imply it is the initialization step before querying, but this is not stated, resulting in implied usage only.

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

• get_docsA
  4.3/5.0
  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 for behavioral disclosure. It notes that the tool searches 'latest docs' and returns text, implying a read-only operation, but does not mention potential network dependency, error cases, or any side effects. This is adequate but not rich.

  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 concise and well-structured: a one-sentence purpose statement followed by clear Args/Returns sections. Every sentence adds value, and information is front-loaded.

  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 2-parameter tool with no output schema, the description provides sufficient context: purpose, supported libraries, parameter guidance, and return type. It lacks explicit error handling or formatting details, but these are not critical for this simple search tool.

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

  Parameters5/5

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

  Schema description coverage is 0%, so the description must fully explain the parameters. It does so effectively with an Args section providing both meaning and examples for 'query' and 'library', plus listing supported library values in the main description.

  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's function: 'Search the latest docs for a given query and library.' It specifies the resource (docs), the verb (search), and scope (latest), and distinguishes from sibling Chroma DB tools by focusing on doc search for specific libraries.

  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 indicates when to use the tool (when searching docs for langchain, openai, or llama-index) through the list of supported libraries. However, it lacks explicit exclusions or alternative tool references, so it doesn't fully meet the 'when-not/alternatives' criterion.

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