Server Quality Checklist

Tool Scores

• hiring_ai_complianceB
  3.4/5.0
  Behavior2/5

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

  No annotations provided, so description must cover behavioral traits. It only lists covered regulations but does not disclose side effects (e.g., read-only), auth needs, or processing details (e.g., returns a report).

  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?

  Two concise sentences: first states core purpose, second lists covered areas. No redundant information. Front-loaded with key action.

  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?

  No output schema; description does not hint at return value or format. Lacks behavioral details for a moderately complex tool with multiple regulations. With no annotations, more context is needed.

  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 coverage is 100% with clear descriptions. Description adds context about compliance assessment but no additional parameter-level meaning beyond schema. 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?

  Description clearly states it assesses regulatory compliance for AI-based hiring systems, listing specific regulations (NYC Law 144, EEOC, EU AI Act). Distinguishes from sibling tool workplace_surveillance_compliance by focusing on hiring/recruitment.

  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?

  Description implies use for hiring AI compliance but does not explicitly state when to use vs. alternatives, nor provides exclusions or when-not-to-use guidance. No prerequisites mentioned.

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

• workplace_surveillance_complianceA
  3.5/5.0
  Behavior2/5

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

  No annotations are provided, so the description bears full burden. It lists regulatory areas covered but does not disclose output format (e.g., report, score), behavioral traits (e.g., static analysis), or whether any additional context or system behavior is involved.

  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 concise sentences that front-load the purpose and scope. Every sentence adds value 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 no output schema and no annotations, the description adequately explains the domain but omits what the tool returns or any behavioral limits. It differentiates from the sibling tool implicitly but not explicitly.

  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 coverage is 100%, so baseline is 3. The description does not add extra meaning beyond the schema field descriptions; it provides context for the tool but not per-parameter enhancements.

  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: to assess compliance for AI-based workplace monitoring systems. It specifies coverage of EU AI Act prohibitions, employee rights, proportionality, and Platform Workers Directive, which distinguishes it from the sibling tool 'hiring_ai_compliance'.

  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 the tool should be used when evaluating workplace surveillance compliance but does not explicitly state when to use versus alternatives, nor provide any exclusions or prerequisites.

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