Find Advisor Recommendations using Knowledge Base solution ID or article ID

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

Annotations already declare readOnlyHint true, destructiveHint false, idempotentHint true. Description adds value by specifying that output provides 'system-specific remediation steps', giving agent insight into response content. No contradiction with annotations.

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

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

Description is concise with 5 lines total. Key purpose is front-loaded in first line, followed by usage paragraph and a clear call example. Every sentence serves a purpose without redundancy.

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

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

For a simple lookup tool with 1 parameter and an output schema, the description adequately covers purpose, usage context, and example. It could mention error scenarios, but overall complete enough given the rich annotations and output schema.

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

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

Schema coverage is 100% with parameter description already covering node_id semantics. Description repeats the example and context but does not add significant new meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool finds Advisor Recommendations for a given Knowledge Base article or solution ID. It uses specific verb 'find' and resource 'Advisor Recommendations', and distinguishes from siblings like advisor__get_rule_by_text_search by focusing on node ID input.

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

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

Description explicitly says 'Use this when you have a Knowledge Base article or solution ID and want to find corresponding Advisor Recommendations', providing clear context. However, it does not mention when not to use or name alternatives, which would fully justify a 5.

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