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List relevant upcoming package changes, deprecations, additions and enhancements to user's systems.

planning__get_relevant_upcoming
Read-onlyIdempotent

List upcoming package changes, deprecations, additions, and enhancements relevant to your systems to plan upgrades and mitigate risks.

Instructions

List relevant upcoming package changes, deprecations, additions and enhancements to user's systems.

🟢 CALL IMMEDIATELY - No information gathering required.

Use this tool to answer questions about upcoming package changes, deprecations, additions, or enhancements in the roadmap filtered by relevance to the user's systems. Also to plan for future upgrades and mitigate risk. Use this tool over get_upcoming_changes when the user asks about upcoming changes for their systems.

Returns: dict: A response object containing: - meta: Metadata including 'count' and 'total'. A count of 0 means no packages matches for the user's systems. - data: A list of package records. Each record contains: - name (str): The package name. - type (str): The change type (e.g., 'addition'). - release (str): The target release version. - details (dict): Detailed info including 'summary' and 'dateAdded'. - potentiallyAffectedSystemsDetail (list): Systems that might be affected by this change, including system IDs, display names, and OS versions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
majorNoRestricts relevance evaluation to systems running this RHEL major version.
minorNoUsed together with major to further restrict relevance evaluation to a specific minor version. Requires major to be specified.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds return structure details, the meaning of count=0, and the data fields. It enhances transparency beyond annotations without contradiction.

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 well-structured with a bold call to action, clear paragraphs, and a bulleted return format. Every sentence adds value, no wasted words.

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

Completeness5/5

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

Given the tool has optional parameters, an output schema, and a sibling tool, the description covers purpose, usage, return structure, edge cases (count=0), and distinction from alternatives. Fully adequate.

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 the schema already documents both parameters (major, minor). The description does not add additional meaning beyond 'filtered by relevance'. Baseline 3 is appropriate.

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 tool lists relevant upcoming package changes, deprecations, additions, and enhancements. It specifies the resource and action, and distinguishes from the sibling tool 'get_upcoming_changes' by noting when to use this one.

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

Usage Guidelines5/5

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

Explicit guidance: 'CALL IMMEDIATELY - No information gathering required.' Tells when to use, and suggests using over get_upcoming_changes for user-specific questions. Provides clear context and alternatives.

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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