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get_unused_symbols

Identifies unused functions and classes in your codebase by analyzing call graphs and import dependencies, filtering out common false positives like dunder methods and entry points.

Instructions

Find functions and classes with zero inbound references (dead code detection).

Analyzes the caller index and import graph to identify symbols that are never called, subclassed, or referenced from other code.

Excludes common false positives: dunder methods, framework-decorated handlers, entry points, and exception classes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbol_typeNoWhat to search for: "all", "functions", or "classes".all
include_testsNoIf True, also scan test files for unused code.
max_resultsNoMaximum results per category.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description bears full burden. It discloses analysis of caller index and import graph, and lists excluded false positives (dunder methods, handlers, etc.). This provides good transparency for a read-only tool.

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?

The description is concise: four short sentences, each adding value. First sentence states purpose, second explains method, third lists exclusions. No unnecessary words.

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 an output schema (so return format need not be explained) and three simple optional parameters, the description covers purpose, method, and exclusions completely. It is adequate for an AI agent to understand and invoke the tool.

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 clear descriptions for all three parameters. The tool description does not add any additional meaning beyond the schema, so baseline 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 it finds functions and classes with zero inbound references (dead code detection). The verb 'find' and resource 'unused symbols' are specific, and it distinguishes from sibling tools like get_call_graph by focusing on dead code.

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

Usage Guidelines3/5

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

The description implies usage for dead code detection but lacks explicit guidance on when to use versus alternatives. No 'when not to use' or alternative tool names are provided.

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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