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get_enriched_ports

Get port data with enriched metadata including canonical name, roles, OS, and storage type for each service to analyze relationships and filter by role.

Instructions

Get port data with LLM-parsed service metadata for a product.

Returns the same port entries as get_product_ports, plus enriched metadata for each source and target service (canonical name, roles, OS, hypervisor, storage type). Useful for understanding service relationships and filtering by role.

Returns 404 if enrichment hasn't been run for this product.

Args: product_name: Exact product name (e.g. 'VBR v13', 'VB365')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations; description discloses enrichment addition and 404 error. Does not cover potential rate limits or auth, but core behavior is clear.

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?

Single paragraph with front-loaded purpose, no filler. Each sentence earns its place.

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?

Low complexity (1 param, output schema exists). Covers return vs sibling, error case, and argument format. Minor gap: no mention of synchronization or prerequisites.

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

Parameters4/5

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

Schema coverage 0%, but description documents parameter with name and examples (e.g. 'VBR v13'), adding meaning beyond schema type.

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?

Clear verb and resource: 'Get port data with LLM-parsed service metadata'. Distinguishes from sibling get_product_ports by mentioning enriched metadata.

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?

Explicitly states similarity to get_product_ports, when to use (for enriched metadata), and provides error case (404). Includes argument format examples.

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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