Skip to main content
Glama
RedHatInsights

Red Hat Lightspeed MCP

Official

Get Detailed Advisor Recommendation Information

advisor__get_rule_details
Read-onlyIdempotent

Get full Advisor Recommendation details including remediation playbooks (resolution_set).

Instructions

Get full Advisor Recommendation details including remediation playbooks (resolution_set).

Input Schema

NameRequiredDescriptionDefault
rule_idYesRecommendation identifier: rule_name|ERROR_KEY.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.0.25
    • changedInput schema / properties / rule_id / description
      Previous value: -"Recommendation identifier in format: rule_name|ERROR_KEY."New value: +"Recommendation identifier: rule_name|ERROR_KEY."
  2. First observedv0.0.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds one useful content-shape fact (remediation playbooks/resolution_set are returned), but says nothing about permissions, rate limits, or failure modes.

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?

A single front-loaded sentence that states the verb, resource, and the distinguishing payload (resolution_set) with zero filler. Nothing could be cut without losing information.

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, the description need not explain return values, and the one required parameter is fully documented. It is complete enough to call correctly, though it leaves the agent without guidance on choosing among the many rule-retrieval siblings.

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% and the single rule_id parameter is fully documented in the schema with its 'rule_name|ERROR_KEY' format. The description adds no additional parameter meaning, so the baseline 3 applies.

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?

States a specific verb and resource ('Get full Advisor Recommendation details') and adds the notable extra that remediation playbooks (resolution_set) are included. However, it does not distinguish itself from siblings like advisor__get_rule_from_node_id or advisor__get_rule_by_text_search, so an agent must guess which rule-fetch path to take.

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 when-to-use guidance and no alternatives are named, despite several sibling tools that also retrieve a single advisor rule. The description implies it is the 'full detail' variant but never says when to prefer it over the summary or search-based siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.