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Jeevesus — DugganUSA threat-intel MCP

KEV risk by vendor

kev-vendor-risk
Read-only

Shows where confirmed exploitation concentrates for a vendor or product (Microsoft, Cisco, Fortinet, an appliance, an ERP), for questions like "what should I patch first".

Vendor / product risk matrix built from CISA's Known Exploited Vulnerabilities (KEV) catalog — where real, confirmed in-the-wild exploitation actually concentrates, not just where CVSS is high.

With no args: returns the top vendors ranked by KEV count (e.g. Microsoft, Cisco, Adobe, Ivanti, Citrix). With {"vendor":"Adobe"}: returns that vendor's or product's known-exploited CVEs (e.g. ColdFusion), most recent first, up to 50, each with a ransomware-use flag (Known or Unknown); kev_count is the full total and truncated says whether the list was cut.

Answers "which vendors/products carry the exploitation risk we should patch first," to assess third-party / supply-chain exposure, or to check whether a freshly-dropped PoC lands on a chronically-exploited product (a proven-soft target) versus a one-off. KEV means CISA has confirmed active exploitation.

Public read (no auth). Source is CISA's KEV catalog, synced daily.

Example: {"vendor":"Citrix"} → NetScaler's known-exploited CVEs; {} → the full top-vendor risk ranking.

Input Schema

NameRequiredDescriptionDefault
vendorNoOptional vendor or product name (e.g. "Adobe", "Citrix", "SharePoint", "ColdFusion"). Omit for the top-vendor risk ranking.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior5/5

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

With annotations already covering read-only and closed-world, the description adds substantial context: public read with no auth, CISA source synced daily, results ordered most-recent-first, capped at 50, and return fields kev_count/truncated/ransomware flag despite no output schema.

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?

The purpose is front-loaded, but examples are repeated (Adobe, Citrix and the empty-args example each appear twice across the body and closing line), and the KEV definition is restated, adding redundancy rather than information.

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 single optional-parameter lookup with no output schema, the description covers what is returned, ordering, truncation, the ransomware flag, auth expectations, and data freshness — everything needed to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% so the parameter is already documented, but the description adds behavioral meaning beyond the schema: omitting vendor yields a top-vendor ranking, while supplying one returns that vendor's CVEs newest-first with the ransomware flag.

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 concrete verb+resource: it returns a vendor/product risk ranking and per-vendor known-exploited CVEs from the CISA KEV catalog. The exploitation-concentration framing distinguishes it conceptually from kev-exploitation-stickiness, but that sibling is never named so differentiation is left implicit.

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?

Gives explicit scenarios: 'what should I patch first', third-party/supply-chain assessment, and checking whether a fresh PoC sits on a chronically-exploited product. Both call modes (empty args vs vendor arg) are described, but no alternative tool is named for overlapping queries.

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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