Skip to main content
Glama

list_symbols

List all top-level functions, classes, and methods in a source file with line numbers to reveal structure before editing.

Instructions

Return a formatted outline of all top-level functions, classes, and methods in a source file (Python, JS, TS, C, C++), with line numbers. Read-only.

Use this when: You're about to edit an unfamiliar file and want to see its structure and exact symbol names. ALWAYS a good first call before editing -- avoids guessing at target names. Don't use this when: You already know the exact target name.

Example: file_path="/abs/path/to/module.py"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It declares the operation as read-only, which is critical. It doesn't elaborate on side effects or permissions, but given the simplicity of a list operation, this is sufficient.

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, front-loads the action, and uses a clear structure: what it does, usage guidance, and an example. Every sentence adds value with no redundancy.

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 output schema exists (not shown but indicated), the description doesn't need to detail return values. It covers purpose, parameter semantics, usage context, and read-only nature, making it fully adequate for this simple 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 0%, so description must compensate. It provides an example path and lists supported languages. However, it lacks details on path format (absolute vs relative) or validation rules, leaving some ambiguity for the agent.

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 returns a formatted outline of top-level symbols from supported source files with line numbers. It distinguishes itself from sibling tools like 'read_symbol' by specifying it lists all symbols rather than reading a specific one.

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 provides when to use (before editing an unfamiliar file) and when not to use (when exact target name is known), positioning it as a best practice first call. This directly helps the agent choose among siblings.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kambleakash0/ast-editor'

If you have feedback or need assistance with the MCP directory API, please join our Discord server