Server Quality Checklist

Tool Scores

• sequentialthinkingA
  4.6/5.0
  Behavior5/5

  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 extensively details the tool's behavior, including how thoughts can adapt (e.g., 'adjust total_thoughts up or down,' 'question or revise previous thoughts'), the iterative process (e.g., 'repeat until satisfied'), and output expectations (e.g., 'provides a correct answer'). This goes well beyond basic functionality.

  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 appropriately structured with sections like 'When to use this tool,' 'Key features,' and 'Parameters explained,' but it is overly verbose with repetitive points (e.g., multiple mentions of revising thoughts). While informative, it could be more streamlined without losing essential information.

  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 complexity (9 parameters, 0% schema coverage, no annotations, no output schema), the description is highly complete. It covers purpose, usage, behavior, parameter semantics, and process steps in detail, providing all necessary context for an AI agent to use the tool effectively despite the lack of structured 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?

  Schema description coverage is 0%, so the description must compensate fully. It provides a detailed 'Parameters explained' section that adds meaning for all 9 parameters, explaining their roles (e.g., 'thought: Your current thinking step,' 'is_revision: A boolean indicating if this thought revises previous thinking'). This effectively documents the parameters beyond the bare schema.

  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 'dynamic and reflective problem-solving through thoughts' and 'analyze problems through a flexible thinking process,' which specifies the verb (problem-solving/analysis) and resource (thoughts/thinking process). However, with no sibling tools mentioned, there's no need for differentiation, so it doesn't reach the highest score of 5.

  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 seven specific scenarios (e.g., 'Breaking down complex problems into steps,' 'Planning and design with room for revision'), covering when to use it comprehensively. Since there are no sibling tools, alternatives aren't discussed, but the guidelines are thorough for the tool's context.

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