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Analyze change impact

impact_analysis
Read-only

Analyze a change request to identify affected components and risks in a codebase. Long-tail details are moved to a resource.

Instructions

Affected components and risks for a change; long tails move to a brain:// resource.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_pathNo
change_requestYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.2

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds a genuinely non-obvious behavioral trait: long-tail results are offloaded to a 'brain:// resource'. That is useful beyond the annotations, but it is cryptic — it never says how to retrieve that resource or when truncation kicks in.

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?

Eleven words in one semicolon-joined sentence with no padding, and the primary output content is front-loaded before the resource-offload caveat. It is efficient, though the terseness borders on under-specification rather than true economy.

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

Completeness2/5

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

With no output schema and 0% parameter coverage, the description must explain what comes back and how to invoke it; 'affected components and risks' is the only glimpse of the return shape. Nothing addresses repo_path, output structure, or size expectations beyond the passing brain:// remark.

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

Parameters2/5

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

Schema description coverage is 0% across both parameters, so the description carries the full burden. It loosely maps 'a change' to change_request but offers no format, source, or content expectations, and repo_path is never mentioned at all despite being relevant to how the analysis is scoped.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The fragment 'Affected components and risks for a change' names the resource (impact findings) and the trigger (a change), which separates it from the record_* and prepare_* siblings. However, it is a noun phrase with no verb, so it never actually states what the tool does (compute, analyze, return) — the agent must infer the action from the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use condition, no prerequisites, and no mention of alternatives such as review_diff or search_code, which are the plausible siblings an agent might confuse this with. The only guidance is an implicit input hint ('for a change'), with nothing telling the agent when this analysis is warranted.

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