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AhmedKishki

white-box-synthesis

by AhmedKishki
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.0

  • Disambiguation5/5

    With only a single tool, there is no possibility of confusing it with another. The purpose is clear and distinct.

    Naming Consistency5/5

    The single tool name follows a clear verb_noun pattern ('verify_synthesis'). Since there is only one tool, the naming convention is internally consistent.

    Tool Count4/5

    One tool is slightly below the typical 3-15 range, but it fits the server's narrow, single-purpose scope of verifying synthesis derivations. The tool is substantial and not redundant.

    Completeness4/5

    The tool covers the core verification workflow, including accepting passages, candidates, and gap declarations. It does not include auxiliary operations like retrieving past reports, but those are not clearly required for the stated purpose.

  • Average 4.4/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 5 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is failing

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

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

    With no annotations, the description carries the full burden of behavioral disclosure. It explicitly states that the tool does not check meaning, that operations marked 'unverified' are recorded claims rather than checked facts, and that any derivation containing one declares 'Human wording: Unverified.' It also outlines the report statuses (accepted, rejected, gap). This provides substantial behavioral context, though it does not mention permissions, side effects, or whether the tool is read-only.

    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 well-organized: a one-line summary followed by a structured Args section and a Returns section. It is longer than average but justified by the complexity of the parameters and the need to compensate for the sparse schema. Each sentence earns its place, and the most important information (purpose and scope) is front-loaded.

    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, the absence of annotations, and the 0% schema coverage, the description is remarkably complete. It covers all parameter requirements, the return format (report with statuses, per-operation verdicts, reconstruction result, counts, provenance declaration), and behavioral caveats. While it could benefit from concrete examples or edge-case handling, nothing critical is missing for an agent to invoke the tool correctly.

    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 coverage is 0%, so the description is the sole source of parameter meaning. It thoroughly explains each parameter: passages need id, text, and a source label; output_context is described; candidate requires a structured object with operation types (COPY, INFLECT, NORMALISE, DELETE, ORDER) and their specific required fields; gap is defined with its six required fields. This adds comprehensive meaning far beyond the generic schema definitions.

    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 opening line states a specific verb and resource: 'Verify a white-box-synthesis derivation, or record a declared gap.' It clearly distinguishes between two modes (verification vs. gap recording) and leaves no ambiguity about the tool's core function. Since there are no sibling tools to differentiate, the purpose is fully clear.

    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 explains the two usage scenarios: verify a derivation when one exists, or record a gap when no legal derivation exists. It also implies the context of use (white-box synthesis) and clarifies that meaning checking is left to humans. However, it does not explicitly state when not to use the tool or provide exclusion criteria, though no alternatives exist to compare against.

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

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