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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is known. The description adds useful behavioral context beyond those hints by stating the XRef index prerequisite for writer/reader analysis and the reliance on relation graphs for forms and FKs.

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?

The description is compact and front-loaded: it opens with the when-to-use condition, lists trigger phrases, notes prerequisites, and closes with examples. Every sentence earns its place with no filler or repetition.

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 read-only analysis tool with no output schema, the description sufficiently explains what the agent will learn (writers, readers, forms, reports, FKs), the prerequisites, and how to call it. No essential operational detail needed to select and invoke it is missing.

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?

Since schema description coverage is 100%, the parameter definitions already carry the baseline meaning. The description adds value by giving two concrete invocation examples ('CustTable','CreditMax' and 'LedgerJournalTrans','AmountCurDebit') that clarify expected table and field name formats.

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?

The description names a specific verb and resource ('understand the full data lifecycle of a D365 F&O table field') and enumerates concrete output categories: writers, readers, forms, reports, and FK relationships. This scope clearly separates it from sibling search/trace tools like find_references and trace_security_chain.

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?

The 'WHEN' clause and explicit trigger phrases ('where is field X set', 'data lineage', 'GDPR field audit') give clear, even multilingual, guidance on when to invoke it, and the examples show typical calls. It does not, however, name alternatives or state when not to use this tool relative to other lineage-adjacent siblings.

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