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CallMarcus

SecurityScorecard MCP Server

by CallMarcus

Security Risk Analysis & Prioritization

analyze_security_risks

Analyze security risks for a domain, prioritize critical vulnerabilities and quick wins, and receive actionable remediation guidance.

Instructions

🚨 SECURITY RISKS: Comprehensive security risk analysis with intelligent prioritization. Analyzes critical vulnerabilities, risk patterns, and provides actionable remediation guidance with flexible response modes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoFocus area: critical (high/critical issues only), all (complete analysis), quick-wins (easy fixes)all
domainNoCompany domain to analyze (e.g., example.com)example.com
response_modeNoResponse detail level: minimal (50-100 tokens), standard (300-500 tokens), detailed (comprehensive)minimal

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv1.1.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It implies a read-only analysis but never confirms it, and says nothing about required permissions, whether it accesses live data, rate limits, or what triggers a failure — only marketing-level claims of 'intelligent prioritization' and 'actionable guidance'.

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?

A single sentence, but padded with an emoji and evaluative filler ('Comprehensive', 'intelligent', 'actionable') that doesn't help an agent decide or invoke. The core purpose is front-loaded, which saves it from being worse.

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?

For a zero-required-param, read-only-style analysis tool with fully documented schema and no output schema, the description is minimally adequate. It omits the routing information (when this beats sibling analyzers) that matters most given eight siblings in the same space.

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 all three parameters (focus, domain, response_mode) including their enum meanings are already documented in the schema. The description adds no parameter-level detail beyond the vague 'flexible response modes', so baseline 3 applies.

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?

States a specific verb+resource (analyze security risks) and enumerates what it covers: critical vulnerabilities, risk patterns, remediation guidance. However, it never distinguishes itself from close siblings like analyze_email_security or security_dashboard, so an agent must guess which analyzer applies.

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 when-to-use, prerequisites, or alternatives are given. Phrases like 'flexible response modes' imply options but never state the conditions under which this tool should be chosen over the many sibling analyzers.

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