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mumez
by mumez

evaluate_smalltalk_with_neo_console

Execute Pharo Smalltalk code expressions through NeoConsole to obtain evaluation results for development and debugging tasks.

Instructions

Evaluate a Pharo Smalltalk expression using NeoConsole.

Args:
    expression: The Smalltalk expression to evaluate
    command: The NeoConsole command to use (default: eval)

Returns:
    The result of the evaluation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expressionYes
commandNoeval
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool evaluates expressions and returns results, but lacks critical details: it doesn't specify if this is a read-only or mutating operation, potential side effects, authentication needs, error handling, or rate limits. For a tool that executes code, this omission is significant and could lead to misuse.

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 appropriately sized and front-loaded, with the core purpose stated first, followed by parameter and return value sections. Each sentence adds value, but the structure could be slightly improved by integrating usage context more seamlessly rather than as isolated bullet points.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of code evaluation tools, lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral risks (e.g., side effects), error cases, or return format details. While it mentions a return, it doesn't describe what the result looks like (e.g., object, string, error message), making it inadequate for safe and effective use.

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 0%, so the description must compensate. It adds meaning by explaining 'expression' as 'The Smalltalk expression to evaluate' and 'command' as 'The NeoConsole command to use (default: eval)', which clarifies their roles beyond the schema's basic titles. However, it doesn't detail syntax examples, command options beyond 'eval', or constraints, leaving gaps in parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Evaluate a Pharo Smalltalk expression using NeoConsole.' It specifies the verb ('evaluate'), resource ('Pharo Smalltalk expression'), and mechanism ('using NeoConsole'). However, it doesn't explicitly differentiate from sibling tools like 'evaluate_simple_smalltalk' or 'get_neo_console_command_history', which could provide similar evaluation or console-related functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'evaluate_simple_smalltalk' or explain scenarios where NeoConsole is preferred over other methods. The only implied context is for evaluating Smalltalk expressions, but this is too vague for effective tool selection.

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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