change_propagation_analysis

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

No annotations are provided, so the description must fully disclose behavioral traits. It does mention the use of commit history and the return of predictions, which implies a read-only analytic function. However, it does not explicitly confirm that it makes no modifications, nor does it discuss potential dependencies or performance considerations, leaving some transparency gaps.

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 well-structured, starting with a two-sentence summary, followed by an Args list and a Returns line. Every sentence is purposeful and the key purpose is front-loaded, achieving high conciseness without sacrificing clarity.

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?

The description covers the tool's action, method, parameters, and return value, which is mostly sufficient for a read-only analysis tool with no output schema. However, the return value description is generic, and no context is provided about alternatives or prerequisites, leaving minor completeness gaps.

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?

The schema provides no descriptions (0% coverage), but the description's Args section gives clear, one-line meanings for all four parameters, including a useful example for changed_module. This fully compensates for the schema's lack of documentation, though some explanations are terse.

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 the tool's purpose with a specific verb ('Analyze') and resource ('how changes in one module historically propagate to others'). It also distinguishes itself from sibling tools by emphasizing historical commit-based analysis and predicting ripple effects, making its unique scope evident.

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 usage for predicting ripple effects based on commit history, but it does not explicitly state when to use this tool over alternatives like trace_dependency_impact or when not to use it. There is no mention of prerequisites or conditions, so guidance is only implicit.

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