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nelssec

qualys-mcp

by nelssec

plan_remediation

Prioritize patches, track deployment status, and verify mitigation coverage for CVEs or QIDs. Identify program gaps to reduce risk.

Instructions

[Remediation] Remediation planning — patch priorities, deployment status, mitigation coverage, program gaps. @slow

USE WHEN: "what should we patch?", "outstanding patches", "patch deployment status", "mitigation coverage", "is there a mitigation for CVE-X?", "what's missing from our security program?", "how do we reduce risk?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNofilter by tag
cvesNocheck mitigation coverage for specific CVEs (list of strings)
qidsNocheck mitigation coverage for specific QIDs (list of ints)
limitNomax results (default 20)
scopeNo"all" | "patches" | "mitigations" | "program"all
detailNo"summary" | "standard" | "detailed"standard
statusNopatch job status filter
platformNo"windows" | "linux"
severityNo"critical" | "high" | "moderate"
asset_groupNofilter by asset group

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description notes '@slow', giving a performance warning. Without annotations, it doesn't explicitly state whether the tool is read-only or whether it modifies anything; the word 'planning' implies non-destructive but this is not explicit. Thus partial transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with a clear summary, followed by usage examples. All content is useful and no redundancy.

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 an output schema present and full parameter descriptions, the description's use cases and scope notes make it complete for most planning queries. Missing explicit information about limitations or interactions between parameters, but overall sufficient.

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 covers 100% of parameters with descriptions, so baseline is 3. The description provides no additional parameter-specific semantics beyond the schema, so it stays at 3.

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 its role: 'Remediation planning — patch priorities, deployment status, mitigation coverage, program gaps.' This is a specific verb+resource and differentiates it from sibling tools like investigate or assess_risk by focusing on remediation planning.

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?

Provides an explicit 'USE WHEN' list with natural language queries, making it clear when to invoke this tool. However, it doesn't mention alternatives or when not to use it, so it falls short of a 5.

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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