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get_file_health_timeline

Read-onlyIdempotent

Analyze file health over time by aggregating complexity, coupling, and churn data into a single timeline, revealing whether a file is improving or deteriorating.

Instructions

Aggregates get_complexity_trend, get_coupling_trend, and get_git_churn into ONE time-series response per file: for each historical snapshot, reports complexity (max/avg cyclomatic), coupling (ca/ce/instability), and a lightweight per-point risk_score, plus a whole-window churn summary — so "is this file getting healthier or worse over time" is answerable in one call instead of three. For cross-file bug-risk ranking use predict_bugs instead (different, more thorough scoring model). Requires git. Read-only. Returns JSON: { file, current, historical: [{ date, commit, max_cyclomatic, avg_cyclomatic, ca, ce, instability, risk_score }], churn, trend }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesFile path to analyze
snapshotsNoNumber of historical snapshots to sample (default: 6)
since_daysNoGit history window in days (default: 90)
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds that it requires git, is read-only, and details the JSON return format. 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?

Description is well-structured and front-loads the main purpose. Each sentence adds value, though slightly verbose. No wasted words overall.

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

Completeness4/5

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

Given the complexity of aggregating three outputs and no output schema, the description provides a detailed JSON return structure. It covers the main use case, prerequisites (git), and an alternative tool. Missing error handling but sufficient for a read-only tool with good annotations.

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% with descriptions for all three parameters. The description does not add significant individual parameter meaning beyond what the schema provides, but it contextualizes the output in relation to snapshots and since_days.

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 it aggregates three child tools into one response to answer file health over time. It explicitly names the three tools and distinguishes from siblings like predict_bugs for cross-file ranking.

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?

Explicitly states when to use: to get file health timeline in one call. Also provides a clear alternative: for cross-file bug-risk ranking, use predict_bugs. Implies single-file usage via required file_path.

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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