pharo-nc-mcp-server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool evaluates an expression and returns the result, but lacks details on error handling, execution environment, side effects, or performance. For a tool that executes code, this is a significant gap in transparency, as it doesn't cover potential risks or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded. The first sentence clearly states the purpose, followed by concise sections for 'Args' and 'Returns.' Every sentence adds value without redundancy, making it efficient and well-structured for quick understanding.

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

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

Given the tool's complexity (executing code with one parameter) and lack of annotations and output schema, the description is minimally complete. It covers the basic purpose and parameter semantics but misses behavioral details like error handling or execution context. It's adequate for a simple tool but has clear gaps in providing a full operational picture.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaningful semantics beyond the input schema. The schema has 0% description coverage, with only a title 'Expression' and type 'string.' The description clarifies that 'expression' is 'The Smalltalk expression to evaluate,' providing context about the parameter's purpose. Since there's only one parameter and the description compensates for the low schema coverage, this earns a high score.

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

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 the simple -e option.' It specifies the verb ('evaluate') and resource ('Pharo Smalltalk expression'), and distinguishes it from siblings like 'evaluate_smalltalk_with_neo_console' by mentioning the 'simple -e option.' However, it doesn't explicitly contrast with other evaluation methods or siblings, keeping it at a 4.

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

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 mentions the 'simple -e option' but doesn't explain when this is preferred over other tools like 'evaluate_smalltalk_with_neo_console' or other siblings. There are no explicit when/when-not instructions or prerequisites, resulting in a minimal score.

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