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get_changed_symbols

Read-onlyIdempotent

Map a git diff to affected symbols (functions, classes, methods) for PR review. Returns JSON with changed symbol details and total count.

Instructions

Map a git diff to affected symbols (functions, classes, methods). For PR review. If "since" is omitted, auto-detects main/master as the base. Requires git. Use for PR review to see which symbols changed. For full branch comparison with risk assessment use compare_branches instead. Read-only. Returns JSON: { changes: [{ symbol_id, name, kind, file, changeType }], total }. Set output_format: "toon" for lossless TOON encoding — cheaper LLM tokens on tabular payloads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoGit ref to compare from (SHA, branch, tag). If omitted, auto-detects main/master merge-base
untilYesGit ref to compare to (default: HEAD)
include_blast_radiusNoInclude blast radius for each changed symbol (default false)
max_blast_depthNoMax blast radius traversal depth (default 3)
output_formatNoOutput format. "json" (default) returns JSON, "markdown" returns LLM-friendly fenced markdown (tool-specific), "toon" returns Token-Oriented Object Notation — 30-60% fewer tokens on tabular data, fully lossless.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds behavioral details: requires git, auto-detects main/master base, and explains output_format effects on token cost. 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.

Conciseness5/5

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

Description is concise, front-loaded with core purpose, and every sentence adds meaningful information. No fluff, covers purpose, usage, behavior, output, and a tip.

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 5 parameters, no output schema, and annotations present, the description provides sufficient context: return format (JSON with changes and total), required git, auto-detection, alternative tool, and output format options. It leaves little ambiguity.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. Description adds value by explaining auto-detection of 'since', the purpose of 'output_format' (TOON encoding for token savings), and the return structure. This goes beyond the schema.

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 maps a git diff to affected symbols (functions, classes, methods) and is intended for PR review. It distinguishes itself from the sibling tool compare_branches by specifying a different use case.

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 says 'Use for PR review' and directs to compare_branches for full branch comparison with risk assessment. Also mentions auto-detection of base branch when 'since' is omitted, providing clear context.

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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