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Luminaire1337

MTA:SA Documentation MCP Server

get_function_examples

Retrieve code examples for any MTA:SA function or event to support implementation snippets and tests.

Instructions

Get only code examples for one function/event after docs lookup. Use when writing implementation snippets and tests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
function_nameYesFunction/event name (case-insensitive)
Behavior3/5

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

With no annotations, the description carries the full burden. It states it is read-only and returns code examples, but does not disclose behavior on missing functions or rate limits. Adequate for a simple tool.

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?

Two short sentences, no wasted words. The purpose is front-loaded and immediately clear.

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 low complexity (one parameter, no output schema), the description is sufficient for an agent to understand the tool's purpose and appropriate use. No obvious gaps.

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

Parameters4/5

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

The only parameter function_name is described in the schema. The description adds that it is case-insensitive, which is valuable beyond the schema definition. Schema coverage is 100%.

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 retrieves only code examples for a specific function/event, distinguishing it from sibling tools like get_function_docs. It explicitly mentions the use case: after docs lookup for writing snippets and tests.

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 gives a clear usage context ('when writing implementation snippets and tests') and implies it follows a docs lookup. It does not explicitly exclude alternatives, but the phrasing is sufficient for an agent.

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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