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mumez

pharo-smalltalk-interop-mcp-server

install_project

Install a Pharo project from a Git repository using Metacello. Specify project name, repository URL, and optional load groups.

Instructions

Install a project using Metacello.

Args: project_name: The name of the project to install repository_url: The repository URL for the project load_groups: Comma-separated list of groups to load (optional)

Returns: dict: API response with success/error and result - Success: {"success": True, "result": str} - result contains installation success message - Error: {"success": False, "error": str} - error contains error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesThe name of the project to install
repository_urlYesThe repository URL for the project
load_groupsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the return format and that the tool installs a project, but it does not mention potential side effects or requirements (e.g., network access, dependencies). Basic transparency is present but could be richer.

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?

The description is well-structured with 'Args' and 'Returns' sections. The first sentence clearly states the purpose. It is concise but could be slightly more compact without the docstring format.

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 tool's moderate complexity (3 parameters, output schema present), the description is complete enough. It covers parameters and return values, though it could mention prerequisites like Metacello availability.

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 description coverage is 67%, and the description repeats the parameter semantics from the schema. It adds the return structure, which is helpful, but does not significantly enhance understanding of parameters beyond what the schema already provides.

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 'Install a project using Metacello.' with a specific verb and resource. No sibling tool has a similar purpose, so it is well distinguished.

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

Usage Guidelines4/5

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

The description provides a clear context for using the tool but does not explicitly state when not to use it or mention alternatives. However, the task is straightforward and the context is sufficient.

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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