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DataNexus MCP

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Python
Hybrid

security_fetch_cve_watch

Destructive

Create a persistent CVE watchlist and check anytime for new events: patch releases, KEV listings, PoC publications, or detected exploitation. Daily refresh via NVD, CISA KEV, EPSS.

Instructions

Persistent CVE watchlist. Create once, check anytime for new events since your last visit — patch releases, KEV listings, PoC publications, exploitation detected. Uses Redis for persistence, NVD + CISA KEV + EPSS for daily background refresh. Returns has_new_events, events (list), call_back_in="24h" on check. Rate limit: 60/minute. No auth required. For security engineers tracking CVE exposure over time. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_cve_watch", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction: create, check, or delete the watchlist. Required.
cve_idsYesList of CVE IDs to watch e.g. ['CVE-2021-44228']. Required for create.
watch_idYesUnique watch identifier to create, check, or delete. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv2.1.16
    • addedInput schema / properties / action / description
      Added value: +"Action: create, check, or delete the watchlist. Required."
    • addedInput schema / properties / cve_ids / description
      Added value: +"List of CVE IDs to watch e.g. ['CVE-2021-44228']. Required for create."
    • addedInput schema / properties / watch_id / description
      Added value: +"Unique watch identifier to create, check, or delete. Required."
  2. Addedv2.1.12

TDQS

A4.6/5.0
Behavior5/5

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

Beyond annotations (destructiveHint=true), the description adds critical behavioral context: uses Redis for persistence, daily background refresh from NVD/CISA KEV/EPSS, rate limit 60/min, no auth required. No contradiction with annotations.

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 well-structured with front-loaded purpose, then details on behavior, return format, rate limit, and audience. It is informative but slightly verbose; could be trimmed while retaining clarity.

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?

Given tool complexity (3 actions, persistence, refresh), the description fully covers lifecycle, return fields, and usage constraints. Output schema exists and is referenced. No gaps identified.

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 baseline 3. The description adds meaning by explaining action types and their context (e.g., 'cve_ids required for create'), and clarifies watch_id as unique identifier, providing value beyond the schema.

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 purpose: managing a persistent CVE watchlist with actions create, check, delete. It distinguishes from siblings like security_fetch_cve_detail by emphasizing persistence and event tracking over time.

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 specifies target users ('security engineers tracking CVE exposure'), usage pattern ('Create once, check anytime'), and provides a fallback instruction to report_feedback. However, it does not explicitly compare to alternatives or state when not to use.

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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