Server Quality Checklist

Tool Scores

• query_financial_historyC
  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 the full burden of behavioral disclosure. It mentions 'semantic search' which hints at intelligent matching beyond exact terms, but doesn't explain what 'all stored financial data' encompasses, whether there are rate limits, authentication requirements, or how results are formatted beyond 'formatted summary'. For a search tool with zero annotation coverage, this leaves significant behavioral gaps.

  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 appropriately concise with three sentences that each serve a purpose: stating the tool's function, describing the parameter, and explaining the return value. It's front-loaded with the core purpose and avoids unnecessary verbiage.

  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 an output schema (which handles return values) and only one parameter, the description covers the basics: purpose, parameter role, and return type. However, as a search tool with no annotations, it lacks details on behavioral aspects like search scope, limitations, or error handling, making it minimally adequate but with clear gaps.

  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 0%, so the description must compensate. It adds that the 'query' parameter is a 'Search query string to find relevant transactions', which provides basic semantic context beyond the schema's title 'Query'. However, it doesn't elaborate on query syntax, examples, or constraints, leaving the parameter only partially documented.

  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 as 'Search through all stored financial data using semantic search' - this specifies the verb (search), resource (financial data), and method (semantic search). However, it doesn't explicitly differentiate from sibling tools like 'list_transactions' which might also retrieve financial data, leaving room for ambiguity about when to use semantic search versus listing.

  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 like 'list_transactions' or 'store_transactions'. It doesn't mention scenarios where semantic search is preferred over other methods, nor does it specify prerequisites or exclusions for usage.

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

• list_transactionsA
  3.5/5.0
  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 of behavioral disclosure. It mentions pagination and filtering capabilities, which adds useful context beyond basic listing. However, it lacks details on permissions, rate limits, error handling, or whether the operation is read-only (implied by 'List' but not explicitly stated).

  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 well-structured with a brief overview followed by clearly labeled 'Args' and 'Returns' sections. Every sentence adds value: the first sentence states purpose and features, and the subsequent sections efficiently document parameters and return values without 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?

  Given the tool's moderate complexity (3 parameters, no annotations, but with output schema), the description is fairly complete. It covers purpose, parameters, and return structure. The output schema exists, so the description doesn't need to detail return values, but it could benefit from more behavioral context like error cases or performance notes.

  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 schema description coverage is 0%, so the description must compensate. It provides clear semantics for all three parameters (limit, offset, category) in the 'Args' section, explaining their purposes and defaults. This adds significant value beyond the bare schema, though it doesn't cover edge cases like format for 'category'.

  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 verb 'List' and resource 'stored transactions from the JSON ledger', making the purpose specific and understandable. It distinguishes from siblings like 'delete_transactions' (deletion) and 'store_transactions' (storage), though it doesn't explicitly differentiate from 'query_financial_history' which might have overlapping functionality.

  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 mentions 'optional pagination and filtering', which implies usage for retrieving filtered data, but provides no explicit guidance on when to use this tool versus alternatives like 'query_financial_history'. There are no statements about when-not-to-use or prerequisites, leaving usage context vague.

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

• delete_transactionsA
  4.3/5.0
  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 and does well by disclosing key behavioral traits: it's a destructive operation (deleting from two data stores), includes a safety guard (confirm parameter), and describes the return value. However, it doesn't mention potential side effects like data irreversibility or error conditions, leaving some 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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a structured Args and Returns section. Every sentence earns its place by providing critical information without redundancy, making it efficient and easy to parse.

  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 complexity (destructive operation with 3 parameters), no annotations, and an output schema (which handles return values), the description is mostly complete. It covers purpose, parameters, and safety, but could improve by mentioning prerequisites (e.g., needing list_transactions first) or error cases, slightly reducing completeness.

  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?

  The schema description coverage is 0%, so the description must compensate fully. It does so by clearly explaining all three parameters: indices (list from list_transactions), delete_all (set to true for all), and confirm (safety guard). This adds essential meaning beyond the bare schema, making the parameters understandable and actionable.

  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 ('Delete transactions') and resources ('from both the JSON ledger and ChromaDB'), distinguishing it from sibling tools like list_transactions (read-only) and store_transactions (create/update). It precisely defines what the tool does beyond just restating the name.

  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 by referencing list_transactions for indices, but does not explicitly state when to use this tool versus alternatives like query_financial_history or store_transactions. It provides some context (e.g., using indices from list_transactions) but lacks clear exclusions or comparative guidance with other tools.

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

• store_transactionsA
  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 full burden. It describes the core behavior (parsing and storing transactions) and specifies the expected input format, but doesn't disclose important behavioral traits like authentication requirements, error handling, rate limits, or whether this is a mutating operation (implied by 'store' but not explicitly stated).

  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 well-structured and appropriately sized. It begins with the core purpose, provides usage context, details the expected format, and explains the return value. Every sentence adds value with no redundant 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?

  Given the tool's complexity (parsing and storing financial data), no annotations, and an output schema present, the description is reasonably complete. It explains the transformation process and return value, though could benefit from more behavioral context about the storage operation itself (e.g., whether it overwrites existing data).

  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?

  With 0% schema description coverage, the description fully compensates by providing detailed parameter semantics. It explains the 'transactions' parameter structure, lists all required fields (date, amount, description, category), specifies data types and formats, and provides examples of category values.

  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 purpose with specific verbs ('parse and store') and resources ('transaction data from uploaded financial documents'). It distinguishes from siblings by focusing on storage rather than deletion, listing, or querying operations.

  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 for when to use this tool ('If you receive unstructured financial data...'), but doesn't explicitly mention when not to use it or name specific alternatives among the sibling tools. The guidance is helpful but lacks explicit exclusions.

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