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sap_scan_security_notes

Scan SAP Security/HotNews notes for a patch-day month, compare fixed package levels to installed components, and rank affected notes by priority and relevance.

Instructions

Discover ABAP Security/HotNews notes for a SAP patch-day month and rank them by relevancy to this system. Fetches the public SAP Focused Run CSA note policy (github.com/SAP-samples/frun-csa-policies-best-practices), compares each note's fixed-in support-package levels against the system's installed components (CVERS), and classifies the affected ones via /classify_note_v2. min_priority=1 for HotNews only (1=HotNews .. 4=Low; includes priorities <= the given value). month defaults to the latest published patch day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthNoPatch-day month as YYYY-MM (e.g., 2026-06). Default: latest published.
classifyNoClassify affected notes via classify_note_v2 (implementation state on this system). Default true.
min_priorityNoInclude notes with priority <= this value. 1=HotNews only, 4=all (default).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.2

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden, and it does a solid job: it discloses that the tool fetches an external public GitHub policy, compares against installed components (CVERS), and invokes /classify_note_v2 for affected notes. It also explains priority semantics and the default month. It does not mention potential side effects or external network dependency, but for a scanning/read-oriented tool this is reasonably transparent.

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 dense but well-structured: it opens with the core purpose, then explains the underlying process, then clarifies parameter behavior. Every sentence adds useful information and there is no filler or repetition of the tool name.

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?

Given there is no output schema, the description does not fully specify the return format, but it does say the notes are ranked by relevancy and classified, which gives a reasonable expectation. The tool is moderately complex (external fetch, cross-system comparison, classification), and the description covers the main steps and user-facing parameters. It is not missing any critical invocation information.

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?

The input schema already covers all three parameters with descriptions and defaults, so the baseline is 3. The description mostly restates the schema's parameter meanings, adding only a light clarification of the priority range (1=HotNews .. 4=Low). It does not add new semantic detail beyond what the schema provides.

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 a specific verb ('Discover ... and rank') and a concrete resource ('ABAP Security/HotNews notes for a SAP patch-day month'). It also explains the mechanism (fetching a public policy, comparing fixed-in levels to CVERS, classifying via /classify_note_v2), which gives a precise sense of scope. It does not explicitly contrast with the sibling sap_check_notes_relevancy, but the purpose is unambiguous on its own.

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 makes the intended use case clear: scanning a patch-day month and ranking security notes by relevance to the current system. It also explains parameter-driven behavior such as min_priority and month defaults. It does not explicitly say when to prefer this over sap_check_notes_relevancy or list exclusions, but the context is strong enough for an agent to select it 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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