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syedtaj7

Kitbag MCP

by syedtaj7

developer_code_detector

Analyze raw code snippets to detect their programming language using heuristic analyzers.

Instructions

Detect the programming language of a raw code snippet using heuristic analyzers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe raw programming code snippet to analyze.
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. While it mentions 'heuristic analyzers,' it lacks details on accuracy, supported languages, or edge cases like ambiguous snippets. This minimal disclosure is insufficient for an agent to anticipate behavior.

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 a single, clear sentence with no extraneous information. While concise, it could be more informative about the tool's behavior and limitations.

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 lack of an output schema, the description should explain what the tool returns (e.g., language name, confidence score). It does not, nor does it mention supported languages or error handling, making it incomplete for an agent to fully understand the tool's capabilities.

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?

The input schema fully describes the single 'code' parameter (100% coverage), so the description adds no extra semantic value beyond what the schema already provides. 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.

Purpose5/5

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

The description clearly states the tool's purpose: detecting the programming language of a raw code snippet. It uses a specific verb ('Detect') and resource, and it uniquely distinguishes itself from sibling tools, none of which perform language detection.

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, nor does it mention any limitations or prerequisites. It simply states what it does, leaving the agent without context for appropriate use.

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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