Skip to main content
Glama
mumez

pharo-smalltalk-interop-mcp-server

list_classes

Retrieve the names of all classes in a given Pharo Smalltalk package.

Instructions

Get list of classes in a package.

Args: package_name: The name of the package

Returns: dict: API response with success/error and result - Success: {"success": True, "result": list[str]} - result contains list of class names in package - Error: {"success": False, "error": str} - error contains error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_nameYesThe name of the package

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that the tool returns a dictionary with success/error and a list of class names. However, it does not mention any behavioral traits like authentication requirements, rate limits, or side effects, which is acceptable for a simple read-only tool but not fully transparent.

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, uses a clear docstring format with Args and Returns sections, and front-loads the main purpose. 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 tool's low complexity, high schema coverage, and presence of an output schema, the description is complete: it covers purpose, the single parameter, and return format in sufficient detail for an agent to use the tool correctly.

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?

Input schema has 100% description coverage for the single parameter 'package_name'. The description repeats this parameter with no added meaning beyond the schema, so baseline score of 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?

Description clearly states 'Get list of classes in a package' with a specific verb and resource. It distinguishes from sibling tools like 'list_extended_classes' by focusing on basic class listing within a package and requiring a package 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 explicit guidance on when to use this tool versus alternatives such as 'list_extended_classes', 'list_methods', or 'search_classes_like'. The description simply states the function without usage context.

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/mumez/pharo-smalltalk-interop-mcp-server'

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