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jowhee327

aws-security-mcp

by jowhee327

generate_mlps3_html_report

Generate an HTML report for MLPS Level 3 (等保三级) compliance, documenting security scan results and compliance status.

Instructions

Generate a professional HTML MLPS Level 3 compliance report (等保三级). Save as .html file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scan_resultsYesJSON string of FullScanResult from scan_group mlps3_precheck or scan_all
historyNoJSON string of DashboardHistoryEntry[] from dashboard data.json for 30-day trend charts
langNoReport language (default: zh)
ai_summaryNoOptional pre-generated AI executive summary (Markdown/plain text). Rendered if present; omit to hide.
Behavior2/5

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

With no annotations provided, the description should disclose behavioral traits. It only states the outcome (generate report) but does not mention whether it is a read-only operation, if it requires specific permissions, or if it modifies any state. The description is insufficient for an agent to understand side effects.

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 concise with two sentences, no unnecessary words. It is front-loaded with the purpose. Could be slightly more structured, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters and no output schema. The description does not explain what the tool returns or where the .html file is saved (e.g., local path, downloadable link). It also does not indicate if history is required for trend charts, leaving the agent to infer from parameter descriptions.

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 parameters are well-documented in the schema. The description adds no extra meaning beyond what is in the schema, so baseline score of 3 is appropriate.

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 states it generates a professional HTML MLPS Level 3 compliance report and saves as .html file. It distinguishes from siblings like generate_mlps3_report by specifying HTML format, but could more explicitly differentiate when to use this versus other report generators.

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 guidance on when to use this tool versus alternatives. Does not mention prerequisites, such as running scan_group mlps3_precheck first to obtain scan_results. Lacks context on which scenarios this report is appropriate for.

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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