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KodyDennon

Statly Docs MCP Server

by KodyDennon

get_code_example

Retrieve code examples for Statly SDK tasks like installation, error handling, and user context in JavaScript, Python, or Go.

Instructions

Get a code example for a specific use case

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYesProgramming language
topicYesTopic for the code example
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't describe how it behaves: no information about response format, error handling, rate limits, authentication requirements, or whether it's read-only (though implied by 'Get'). This leaves significant gaps for a tool with no annotation coverage.

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?

The description is a single, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a simple lookup tool and front-loads the essential information.

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

Completeness3/5

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

For a simple 2-parameter lookup tool with good schema coverage but no annotations or output schema, the description is minimally adequate. It states what the tool does but lacks important behavioral context that would help an agent understand how to properly use it. The absence of output information is a notable gap.

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 100%, with both parameters well-documented in the schema (language and topic with clear enums and descriptions). The description adds no additional parameter semantics beyond what the schema provides, so the baseline score of 3 is appropriate.

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 with a specific verb ('Get') and resource ('code example'), and specifies the scope ('for a specific use case'). It doesn't explicitly differentiate from sibling tools like get_api_reference or get_sdk_reference, but the focus on code examples rather than API/SDK references provides some implicit distinction.

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 like search_docs or the other reference tools. It mentions 'specific use case' but doesn't clarify what constitutes such a case or when other tools might be more appropriate.

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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