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shyshlakov

pci-dss-mcp

check_auth_strength

Scans Go source files to detect weak authentication violations (hardcoded passwords, short password policies, missing MFA on payment routes) mapped to PCI DSS 8.3.1, 8.3.6, and 8.4.2.

Instructions

Scan Go source files for weak authentication: hardcoded passwords (PCI DSS 8.3.1), password policy with minimum length below 12 (PCI DSS 8.3.6), and payment routes missing MFA middleware (PCI DSS 8.4.2). Default: returns response_shape "summary" with by_severity counts, a capped by_rule histogram (top 10 + more_rules), and top 3 per severity findings - plus a pagination.next_cursor for drill-down. Prefer this for mixed queries; min_severity / rule_filter drop to response_shape "flat" but still carry summary.by_severity + summary.by_rule for full-scan context. Follow the cursor for the full paginated list. Use include_tests / exclude_patterns / min_severity / rule_filter for a filtered flat response. Maps findings to PCI DSS 8.3.1, 8.3.6, 8.4.2.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesrequired,Path to the Go project directory to scan for authentication strength violations
exclude_patternsNoOptional glob patterns to exclude. Supports directory patterns (vendor/) and file globs (*.pb.go). Default: vendor/ generated/ *.pb.go testdata/ mocks/
include_testsNoInclude _test.go files in scan results. Default false excludes test files per industry SAST consensus
include_untrackedNoScan all files including .gitignored. Default false scans only git-tracked files
cursorNoOpaque cursor token from a prior check_auth_strength response. When set resumes pagination from the stored session cache (10-minute TTL). Leave empty for a fresh scan.
limitNoMaximum number of findings to return per call. Default 0 (summary-first response with next_cursor). To fetch more findings than fit in one response, follow next_cursor; do NOT raise this value to fetch all at once (server caps at the per-tool page size and rejects with LIMIT_EXCEEDS_PAGE_SIZE).
min_severityNoFilter by minimum severity (CRITICAL/HIGH/MEDIUM/LOW/INFO). Setting this forces the flat response shape.
rule_filterNoFilter by rule ID, comma list or /regex/. Setting this forces the flat response shape.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 discloses default response shape (summary with counts, histogram, top findings), pagination behavior, and how filters affect output. It does not mention authentication requirements, rate limits, or session cache TTL beyond 10 minutes, but covers the key behavioral aspects.

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 dense but well-structured, front-loading the purpose and then detailing response shapes and filtering. Some redundancy (e.g., repeated mention of PCI DSS mappings) could be trimmed, but overall it is informative without being overly verbose.

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 (8 parameters, required output schema), the description adequately explains default behavior, pagination, and filter effects. It references PCI DSS mappings but does not detail the output schema structure (since it exists separately). It is complete enough for reliable invocation.

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 description coverage is 100%, so baseline is 3. The description adds context about combined effects (e.g., filters force flat response) and default values, but each parameter's individual purpose is already well-documented in the schema. Minor added value.

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 it scans Go source files for weak authentication, listing specific PCI DSS checks (8.3.1, 8.3.6, 8.4.2). This clearly distinguishes it from sibling tools like audit_log_coverage or check_dependencies, which target different compliance areas.

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 provides clear guidance on when to use this tool ('Prefer this for mixed queries') and how filters (min_severity, rule_filter) change the response shape. It explains pagination with cursor and limits but does not explicitly state when not to use it or list alternatives.

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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