Server Quality Checklist

Tool Scores

• ValidateODSERecordB
  3.4/5.0
  Behavior2/5

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

  No annotations are provided, and the description only mentions 'package semantics' without detailing error behavior, side effects, or permissions. It does not disclose what happens on invalid records or the return format.

  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 a single, focused sentence that uses the imperative verb and is easy to parse. No filler.

  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?

  For a validation tool with no output schema and no annotations, the description omits expected return values and error semantics. It is a superficial overview rather than a complete spec.

  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 input schema fully describes all parameters, so the description adds little beyond the schema. The mention of batch validation is mildly informative but does not clarify parameter-specific behavior.

  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 action (validate) and the resource (JSON array of ODS-E records), and references the underlying package for semantics. It is distinct from sibling tools that convert or list.

  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 the siblings. It implies a validation use case but lacks guidance on prerequisites, alternatives, or conditions.

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

• ListSupportedOEMsA
  3.7/5.0
  Behavior3/5

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

  With no annotations, the description carries the transparency burden. The verb 'List' implies a read-only operation, and mentioning the package version adds context, but it does not disclose potential errors, timeout behavior, or output format beyond the literal listing. 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 a single, front-loaded sentence that states both the primary action and the additional version output. No filler or redundant information; every word earns its place.

  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?

  For a simple list operation with no output schema, the description conveys the core output (OEM keys and version) but omits details like the structure of the returned keys or the behavior when the package has no supported OEMs. Given the tool's simplicity and zero annotations, this is minimally complete but not exhaustive.

  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 only parameter, timeout, is fully documented in the schema with a description and range, so schema coverage is 100%. The description does not require additional parameter detail, and the baseline of 3 applies because the schema already provides what the agent needs.

  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 'List' and identifies the resource 'OEM source keys supported by the installed odse package', plus an additional output of the package version. This clearly distinguishes it from sibling tools that convert or validate records.

  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: call this tool to discover available OEM source keys and the installed odse package version. However, it does not explicitly state when to prefer this over the sibling tools (ConvertToODSE, ValidateODSERecord) or provide exclusions, so guidance is 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.

• ConvertToODSEA
  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 carry full behavioral transparency. It discloses that it uses odse.transformer.transform and can auto-detect the OEM, which gives some insight into internal logic. Yet it does not mention potential side effects, handling of conflicting payload/payload_file inputs, or return value shape, leaving the behavior only partially 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 two sentences long, front-loaded with the primary purpose and the key optional behavior. Every word contributes meaning, with no redundant information or filler.

  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 tool has 6 optional parameters and no output schema, so the description needs to clarify how inputs interact and what is returned. It explains the core transformation and auto-detection but does not cover cases like supplying both payload and payload_file, or describe the output format. The description is adequate but leaves notable gaps for an agent to safely invoke the tool.

  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 coverage is 100%, so the baseline is 3. The description adds value by clarifying that 'CSV/JSON text or file' encompasses both the payload and payload_file parameters, and by explaining the behavior when source is omitted (auto-detection). This goes beyond the individual parameter descriptions and aids selection.

  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 converts raw OEM energy telemetry (CSV/JSON text or file) into ODS-E energy-timeseries records, naming the specific transformation function. It distinguishes from siblings by using 'Convert' versus 'List' or 'Validate', leaving no ambiguity about the tool's role.

  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 makes it clear that the tool is for converting raw telemetry into ODS-E records, which is a distinct use case from listing OEMs or validating records. It also provides usage nuance by noting that OEM auto-detection occurs when source is omitted. However, it does not explicitly mention when not to use this tool or compare with alternatives, so a 4 is appropriate.

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