Server Quality Checklist

Tool Scores

• sequentialthinking_toolsA
  3.9/5.0
  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 of behavioral disclosure. It effectively describes the tool's dynamic nature (e.g., adjusting thoughts, revising, branching), its role in MCP tool coordination, and expected behaviors like hypothesis generation and verification. However, it lacks details on error handling, performance limits, or authentication needs, which are minor gaps.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness3/5

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

  The description is overly verbose and repetitive, with sections like 'Parameters explained' and 'You should' that could be condensed. While well-structured with clear headings, it includes redundant information (e.g., repeating tool features in multiple sections), reducing efficiency. Every sentence adds value, but many could be more concise.

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

  Completeness5/5

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

  Given the tool's high complexity (13 parameters, nested objects, no output schema, and no annotations), the description is exceptionally complete. It covers purpose, usage, features, parameter explanations, and detailed instructions, providing all necessary context for an agent to understand and invoke the tool correctly without relying on structured fields.

  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?

  Despite 100% schema description coverage, the description adds significant value by explaining parameter semantics in detail. It provides context for each parameter (e.g., 'thought' can include revisions, questions, hypotheses; 'current_step' includes tool recommendations with rationale), clarifies usage patterns, and offers examples, going well beyond the schema's basic descriptions.

  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?

  Tautological: description restates name/title.

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

  Usage Guidelines5/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides explicit 'When to use this tool' with 8 bullet points covering scenarios like complex problems, planning with revision, unclear scope, multi-step solutions, and tool guidance. It also includes a 'You should' section with 15 detailed instructions on how to use the tool effectively, offering comprehensive guidance on when and how to apply it.

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