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Security Fetch Cve Watch

security_fetch_cve_watch
Destructive

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. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the annotations, the description adds rate limiting, no-auth requirements, Redis persistence, daily refresh sources, and the exact check response shape. This gives agents operational constraints and side-effect context not available in the structured annotations, and nothing contradicts destructiveHint.

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 front-loaded with the core purpose and then provides operational details, rate limits, and response shape. The report_feedback fallback sentence is long but actionable; overall the description is dense without being padded enough to lose value.

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?

With full schema coverage, annotations, an output schema, and a description covering rate limit, auth, persistence, refresh cadence, and return shape, the tool is well specified. Minor omissions such as create-on-existing-watch_id behavior or handling of nonexistent watch IDs keep it from being fully complete.

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 descriptions already cover all three parameters at 100%, so the schema does the heavy lifting. The description adds behavioral context such as 'on check' return fields, but it does not add per-parameter semantics like watch_id format or CVE ID validation beyond what the schema already states.

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?

The description clearly identifies a persistent CVE watchlist with create/check lifecycle and specific event types. It is distinguishable from one-shot CVE lookup tools, but it does not explicitly contrast with the sibling security_fetch_cve_watch_status, so differentiation is implicit rather than explicit.

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 states the target user and workflow: security engineers tracking CVE exposure over time, creating once and checking anytime. It does not name alternatives or give when-not-to-use guidance, but the context is explicit enough to route most agents appropriately.

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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