analyze_regeneration_impact

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description does not contradict these, but it also adds little beyond the basic operation. It does mention 'direct and transitive' which is useful, but does not disclose any additional behavioral traits such as output size limits, performance characteristics, or side effects beyond what annotations would imply. Given the annotations cover safety, this is acceptable but not exceptional.

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 a single, focused sentence that front-loads the core action. There is no redundancy or extraneous detail, making it highly efficient and easy to parse. It earns its place fully.

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?

With an output schema present, the return value structure is covered. However, the description does not provide usage context, prerequisites, or explanation of the two required parameters. It lacks explicit guidance on when to choose this tool over alternatives, and the parameter semantics gap makes it incomplete for an agent to correctly invoke it without additional schema inspection.

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 description coverage is 0%, so the description carries the full burden of explaining parameters. However, it does not explain what 'operations' or 'changedOperationIds' mean, how they are used, or any constraints (e.g., the structure of 'dependencies'). The agent must infer the parameter semantics from the overall purpose, which is insufficient for a tool with this complexity.

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 a specific verb ('trace') and a specific resource ('operation dependencies affected by a programming change'). It distinguishes this tool from sibling analysis tools like get_dirty_toolpaths or verify_change by focusing on transitive impact rather than direct state or validation. The purpose is unambiguous and actionable.

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 description implies when to use this tool (when a programming change occurs and you need to know affected operations) but does not explicitly state when not to use it or mention alternatives. It lacks guidance on how this differs from get_dirty_toolpaths or verify_change, leaving the agent to infer the appropriate context.

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