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Server Quality Checklist

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  • Latest release: v1.0.4

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: scan_file vs scan_directory differ by scope, ai_analyze uses ML, check_dependencies focuses on dependencies, and scan_rules_file is for configuration files. No ambiguity.

    Naming Consistency4/5

    Tools mostly follow verb_noun snake_case pattern (e.g., scan_file, check_dependencies). The outlier is ai_analyze, which uses a prefix instead of a verb-noun structure, but it's still clear and consistent overall.

    Tool Count5/5

    With 6 tools covering scanning, AI analysis, dependency checks, and explanations, the count is well-scoped for a focused security analysis server. Not too many or too few.

    Completeness4/5

    The tools cover core scanning and analysis tasks well, including file/directory scanning, dependency risks, AI-based analysis, and explanations. A minor gap is the lack of a tool for aggregated reporting or finding management, but the surface is largely complete for detection and explanation.

  • Average 3.5/5 across 6 of 6 tools scored.

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

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • 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

  • Behavior2/5

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

    No annotations are provided, so the description must fully disclose behavior. It mentions what it scans for but omits whether the tool modifies the file, required permissions, rate limits, or return structure. This is insufficient for an agent to safely invoke the tool.

    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?

    Single, focused sentence with no unnecessary words. Efficiently conveys the core functionality.

    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?

    Lists relevant malicious patterns but lacks information about output format, success/failure indicators, or behavioral guarantees (e.g., read-only). Without output schema, this gap is notable.

    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?

    Input schema has 100% coverage for the single parameter 'file_path', which has a clear description. The tool's description adds no extra semantic value beyond what the schema already provides.

    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?

    Description clearly states the tool scans a single file for hidden malicious code patterns, listing specific pattern types. However, it does not explicitly distinguish from sibling tools like scan_directory or scan_rules_file, which could cause confusion.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool versus alternatives (e.g., scan_directory for directories, ai_analyze for broader analysis). No mention of limitations or prerequisites.

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

  • Behavior2/5

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

    No annotations provided, so description carries full burden. It only lists checks performed but omits behavioral traits such as whether it modifies files, requires network access, or performance impact. Minimal behavioral context.

    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?

    One sentence, no unnecessary words, front-loaded with core information.

    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 and no mention of return format (e.g., report, status). For a security scan tool, more information about output and side effects is expected.

    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 description for file_path. Description does not add meaning beyond schema, so baseline of 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 checks package.json for specific security risks: typosquatting, suspicious install scripts, and dependency risks. Verb+resource+scope is specific and distinct.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool versus siblings like scan_file or scan_directory. No 'when not to use' or alternative suggestions provided.

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

  • Behavior2/5

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

    No annotations are provided, so the description carries full burden. It indicates recursive scanning but does not disclose performance implications, file modification behavior, or required permissions. More behavioral context is needed.

    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 a single concise sentence with no unnecessary words. It is front-loaded with the core action. Could be slightly more structured but is efficient.

    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?

    Given no output schema and security scanning complexity, the description lacks details on output format, result interpretation, and prerequisites. It is incomplete for an agent to fully understand usage without additional context.

    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?

    Input schema coverage is 100% with descriptions for both parameters. The description adds context like 'recursively' implying dir_path is a directory, but does not significantly enhance the schema's existing details. 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?

    The description explicitly states the tool recursively scans a directory for hidden malicious code patterns, which is a specific verb+resource combination. It clearly distinguishes from siblings like scan_file (single file) and scan_rules_file (rules file).

    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 for scanning directories but does not explicitly state when to use this tool versus alternatives like scan_file or ai_analyze. No exclusions or prerequisites are provided.

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

  • Behavior3/5

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

    With no annotations, the description carries the burden. It discloses the input (file_path) and what it scans for, but does not mention return values, error conditions, permission requirements, or side effects. Lacks behavioral depth.

    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?

    A single sentence that is front-loaded with the action and target. No unnecessary words. Efficient and clear.

    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 simplicity (1 parameter, no output schema), the description is mostly adequate. However, it could improve by specifying what the output looks like (e.g., a boolean or list of findings) to be fully complete.

    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's mention of 'AI configuration/rules file' adds minimal value beyond the schema's example file paths. No additional parameter semantics provided.

    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 verb (scan), resource (AI configuration/rules file), and purpose (detect prompt injection and Rules File Backdoor attacks). It distinguishes itself from sibling tools like scan_file and scan_directory by specifying the exact file type and threats.

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

    Usage Guidelines2/5

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

    The description provides no guidance on when to use this tool versus alternatives such as scan_file for generic file scanning or scan_directory for directories. No context on prerequisites or conditions for use.

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

  • Behavior3/5

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

    With no annotations, the description carries the burden. It mentions classification and detection capabilities but does not disclose behavioral traits like read-only nature, output format, or confidence score interpretation. Adequate but not fully 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?

    Three concise sentences that are front-loaded with the core purpose, then expand on capabilities. No wasted words.

    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?

    For a simple tool with one parameter and no output schema, the description adequately covers purpose and capabilities. It could mention confidence score range or output format for clarity, but overall is sufficient.

    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 a clear description for the single parameter. The description adds no extra semantic detail beyond the schema, so 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?

    The description clearly states the tool's function: deep AI analysis using CodeBERT, classifying code as malicious/benign with confidence scores. It distinguishes itself from siblings like scan_file by emphasizing AI-based detection of obfuscated payloads and novel patterns.

    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 use when static rules may miss threats, but lacks explicit guidance on when to use this tool over siblings like scan_file or scan_rules_file. No clear when-not or alternative recommendations.

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

  • Behavior4/5

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

    No annotations are provided, so the description carries full burden. It indicates a read-only operation ('Get detailed explanation') with no side effects. While it does not explicitly state that no changes occur, the purpose is clearly informational, which is sufficiently transparent for a lookup tool.

    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 sentence of 20 words, directly conveying the tool's purpose without any unnecessary information. It is front-loaded with the key verb and resource.

    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?

    For a simple lookup tool with one enum parameter and no output schema or annotations, the description adequately covers the function. It lists the types of content in the explanation, making it complete for the given complexity.

    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% as the sole parameter 'category' has an enum and description. The tool description does not add extra meaning to the parameter beyond what the schema already provides. The description adds context about the output but not about the parameter itself, so 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?

    The description clearly states the tool provides detailed explanations for threat categories including attack scenarios, real-world examples, and remediation steps. It uses a specific verb ('Get detailed explanation') and resource ('threat category'), and distinguishes itself from sibling tools that perform scanning or analysis.

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

    Usage Guidelines2/5

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

    The description does not mention when to use this tool versus alternatives. It implies usage when an explanation of a threat category is needed, but fails to provide explicit guidance or context for when not to use it. Given the simple nature, some guidance would improve agent selection.

    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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