secureaudit-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool covers a distinct area of security auditing: source code scanning, binary protection verification, vulnerability remediation, and string extraction. No overlap in purposes.
Naming Consistency5/5All tool names follow a consistent verb_noun pattern in snake_case (audit_source_code, check_binary_protections, remediate_vulnerability, safe_extract_strings).
Tool Count5/5Four tools is well-scoped for a security auditing server, covering the main stages of analysis, remediation, and information gathering without being excessive or insufficient.
Completeness4/5The tool set covers source code auditing, binary protection checks, remediation, and string extraction. Minor gaps such as dynamic analysis or report generation are present, but core workflows are effectively supported.
Average 3.5/5 across 4 of 4 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 4 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.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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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 provided; description only states what is provided without disclosing side effects, input restrictions, or output behavior. Lacks detail on whether it modifies code or just presents templates.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, concise and front-loaded with purpose. Could be improved with additional details, but no unnecessary content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description does not specify the format of the output or how to apply the remediation. Incomplete for a tool that is likely used in a multi-step remediation workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with parameter description; the tool description adds context about the overall purpose but does not enhance understanding of the parameter itself beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
Description uses specific verb 'provides' and identifies resource 'secure remediation templates and code blocks' for replacing vulnerable C/C++ segments. It clearly distinguishes from sibling tools which focus on auditing, checking, and extraction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. Implicitly it should be used after identification of a vulnerability, but no mention of prerequisites or limitations.
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?
With no annotations provided, the description carries full burden for behavioral disclosure. It only says 'Safely extracts' implying non-destructive behavior, but omits details about authentication, error handling, performance, or side effects (e.g., file permissions).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that conveys the action, scope, and purpose without unnecessary words. It is front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description adequately explains what the tool does and its analogue, but lacks details about return values (no output schema), error conditions, or limitations. For a simple extraction tool, this is minimally adequate but not complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds no extra meaning beyond the schema: it mentions 'print-printable ASCII strings' but does not clarify the character set or filtering specifics not already in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool extracts print-printable ASCII strings from local binary files, mimicking the Linux 'strings' utility, and specifies the purpose (look for indicators, secrets, hardcoded URLs). This distinguishes it from sibling tools like audit_source_code or check_binary_protections.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool versus alternatives (e.g., audit_source_code). It mentions mimicking Linux 'strings' but does not clarify when extracting strings is preferred over other binary analysis tasks.
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?
No annotations are provided, so the description must carry the full burden. It states the tool scans for issues, implying a read-only analysis, but does not disclose if it modifies files, requires network access, or has other side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys the tool's purpose and scope without unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description lacks information about output (e.g., does it return a list of issues, a report?) and does not mention any prerequisites or side effects. Since there is no output schema, the description should clarify what the tool delivers.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% coverage with a clear description for the only parameter 'filePath'. The tool description adds context about the scan's focus but does not enhance parameter semantics beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it scans C/C++ source files for specific secure coding issues like buffer overflows and memory leaks. The tool name 'audit_source_code' and examples differentiate it from siblings that handle binaries, remediation, or string extraction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use on C/C++ source files but provides no explicit guidance on when to use vs. alternatives or when not to use. Siblings suggest different scopes, but the description could be clearer.
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?
No annotations are provided, so the description must cover behavioral traits. It describes a read-only parsing operation (no modification mentioned) but does not explicitly state that it is non-destructive or require special permissions. The lack of side-effect disclosure is a minor gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence (18 words) that conveys all essential information without redundancy. Every word is meaningful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema), the description adequately explains what the tool does and what protections it checks. However, it does not hint at the return format (e.g., a report), which would have increased completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter (filePath) is fully described in the schema (100% coverage). The tool description adds no additional meaning beyond noting the file types (PE/ELF), which is already implied by the schema description. Baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action (parses and verifies) and resource (compiled binary files, Windows PE or Linux ELF). It lists specific protections (ASLR, DEP/NX, SafeSEH, PIE), distinguishing it from sibling tools that handle source code auditing, vulnerability remediation, or string extraction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for checking binary protections but does not explicitly state when to use it over alternatives or provide exclusions. No guidance on prerequisites or context is given.
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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