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Open Kioku Impact Analysis

impact_analysis
Read-onlyIdempotent

Identify downstream dependencies, callers, tests, and policy impacts of a file change using the dependency graph to estimate blast radius before editing.

Instructions

Analyze the blast radius of a change to one repository-relative file using the indexed dependency graph. Returns ranked downstream dependent files, caller functions, related test files, and architecture policy impact with impact scores and relationship types. Use before editing a file to estimate the blast radius: downstream dependent files, caller functions, related test files, and architecture policy impact from the indexed dependency graph. Do NOT use when only test targets are needed (use find_tests_for_change) or for a comprehensive validation plan including static checks (use recommend_validation_plan). This is read-only and analyzes the local index only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesThe repository-relative path of the file to analyze for downstream impact (e.g., 'src/auth/handler.rs').

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoWrapped non-object output, used for Markdown, TOON, or scalar responses.
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds 'read-only and analyzes the local index only', providing extra behavioral context beyond annotations. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the main purpose, but the second sentence largely repeats the list of return values from the first sentence, reducing conciseness slightly. Still efficient overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has only one parameter, has an output schema, and clear annotations, the description covers when and why to use it, constraints, and alternatives, making it complete for effective agent usage.

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

Parameters3/5

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

Schema coverage is 100% as the single parameter 'path' is well-described in the schema. The description does not add additional semantic meaning beyond what the schema provides, so baseline score of 3 is appropriate.

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?

The description clearly states the tool analyzes the blast radius of a change to a file using the indexed dependency graph. It lists what it returns (downstream dependent files, caller functions, etc.). It also distinguishes itself from sibling tools like find_tests_for_change and recommend_validation_plan.

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?

The description explicitly tells when to use before editing a file and when not to use (for only test targets or comprehensive validation plan), providing specific alternative tool names.

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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