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

Annotations already indicate readOnly and idempotent behavior. The description adds meaningful operational context: the XRef index prerequisite, BFS traversal up to 3 hops, and the categories of impact included. This goes beyond the annotations without contradicting them.

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 longer than average, but it is well-structured with a WHEN clause, output summary, requirement note, trigger phrases, examples, and workflow suggestion. The trigger phrase list is somewhat repetitive but serves a real routing purpose. Overall, each section earns its place.

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 tool with no output schema, the description conveys the return format well enough by listing the blast-radius components and severity levels. It also covers prerequisites, parameter usage, and a sensible combination with other tools. An agent has enough information to decide when and how to invoke it correctly.

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%, so the baseline is 3. The description adds value by clarifying the semantic difference between table/class-level objectName values and method-level values like 'SalesLine.insert', and by linking maxDepth to the BFS behavior. This is helpful but not extensive, given the schema already documents both parameters.

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 clearly states this tool computes change impact for X++ objects/methods and enumerates the concrete outputs: direct callers, transitive dependents, custom model extensions, interface propagation, and severity classification. This distinguishes it from generic search or reference tools like find_callers or find_references, even though those siblings are not named explicitly.

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 is explicit ('about to modify an X++ object or method and need to understand what could break'), and the trigger phrases plus objectName examples provide strong contextual guidance. It does not explicitly say when not to use this tool versus closely related siblings, so it stops short of a 5.

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