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Get Patch Tuesday Readiness

get_patch_tuesday_readiness
Read-onlyIdempotent

Assess your environment's readiness for Patch Tuesday by aggregating pre-patch reports, pending approvals, and patch policy schedules into a single view.

Instructions

Combined view of pre-patch report, pending approvals, and patch policy schedules. Answers 'Are we ready for Patch Tuesday?' in a single call. Policy schedule_days bitmasks carry a schedule_days_decoded sibling; schedule_time is a bare HH:MM string with no timezone marker. Per-device prepatch_report.devices[].highest_severity uses the vocabulary critical/high/medium/low/none/no_known_cves/unknown (full enum per spec; live-observed on this tenant: no_known_cves, high, critical, unknown). The projection emits the string 'unknown' for absent/undetermined severity — it never emits JSON null. 'no_known_cves' (patches carry no CVE) and 'unknown' (severity absent/undetermined, NOT inherently high risk) are distinct states and are never collapsed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_idNo
detail_limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metadataNoPagination, errors, per-section summaries, token-budget warnings, and correlation metadata. Shape varies per call.
Behavior5/5

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

The description adds significant behavioral detail beyond annotations: bitmask sibling fields, timezone-less time strings, enum vocabulary for severity, and the distinct handling of 'unknown' vs 'no_known_cves'. No contradictions with readOnlyHint or idempotentHint.

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

Conciseness3/5

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

The description is front-loaded with purpose but becomes verbose with detailed enum documentation. It could be more concise, though the details are valuable. About 100 words, slightly above ideal.

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

Completeness3/5

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

Given that output schema exists, the description compensates well for output behavior. However, it fails to document input parameters, which is a significant gap for a tool with 2 parameters and no schema coverage. The complexity is moderate, but completeness suffers.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the two parameters (group_id, detail_limit). It only describes output behavior, leaving parameter semantics entirely undocumented.

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 verb ('get/view') and resource ('patch Tuesday readiness'), and distinguishes it as a combined view of pre-patch report, pending approvals, and patch policy schedules. This sets it apart from sibling tools like prepatch_report or patch_approvals_summary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for checking readiness in a single call, but does not explicitly discuss when to use alternatives or when not to use it. The sibling list is long but no comparisons are made, so guidance is minimal.

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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