Coding Guides
Server Details
Coding guidelines and best-practice guides for 130+ languages, frameworks, and tools.
- Status
- Healthy
- Uptime
- 100.0% over 44 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- delian/codeguide-mcp
- GitHub Stars
- 0
- Server Listing
- codeguide-mcp
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusion or overlap. The tool's purpose (getting a coding guide) is unambiguous and clearly described.
The single tool name 'get_guide' follows a clear verb_noun pattern, consistent with naming conventions. With only one tool, consistency is trivially maintained.
A single tool feels thin for a server dedicated to coding guides. While the tool is functional, typical users would expect at least a listing or search capability, placing it in the borderline category.
The server only provides 'get_guide', missing essential operations like listing available guides or searching across guides. This is a significant gap that will limit an agent's ability to discover what guides exist, causing potential failures.
Available Tools
1 toolget_guideBInspect
Get the content of a specific coding guide.
| Name | Required | Description | Default |
|---|---|---|---|
| guide_name | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. 'Get the content' implies a read-only operation with no side effects, but it does not mention error handling, authentication requirements, or anything about the response format. It meets the minimum but lacks depth.
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 one short sentence with zero wasted words. It is front-loaded and directly states the core purpose, making it highly concise and easy to parse.
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?
The tool is simple (1 parameter) and has an output schema, so return values are covered. However, the description is too sparse to be considered complete: it does not explain how to specify guide_name, nor does it provide any usage context or caveats. An agent would struggle to invoke this tool correctly without additional information.
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 only parameter, guide_name, has no description in the schema (0% coverage) and the tool description does not clarify what format the name should take, whether it must be exact, case-sensitive, or how to discover valid guide names. The description provides absolutely no additional meaning beyond the parameter name.
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 action (get) and the resource (content of a specific coding guide). It is unambiguous and distinguishes the tool as a retrieval operation, even though there are no sibling tools to differentiate from.
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 implies the tool is used when you need the content of a guide, but it does not provide explicit context on when to use it versus alternatives, mention prerequisites, or state any exclusions. With no sibling tools, the lack of explicit guidance is acceptable but still leaves room for improvement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_guide
Related MCP Connectors
AI-powered codebase analysis — call graphs, security, dead code, complexity. 150+ tools.
Governance copilot for AI-assisted coding. 72 packs, 532 rules, proof bundles.
Code intelligence for coding agents: semantic, AST, graph, and full-text search. 279+ languages.
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
Related MCP Servers
- AlicenseBqualityFmaintenanceProvides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.317MIT
- FlicenseNot gradedqualityDmaintenanceProvides Python and FastAPI coding best practices with searchable guidelines, code review capabilities, and actionable improvement suggestions with examples across general coding, performance, and code quality categories.-
- AlicenseAqualityDmaintenanceA server providing programming guidelines and coding standards for multiple languages, enabling access and search of best practices for C#, Go, JavaScript, Python, and TypeScript.314 npmMIT
- AlicenseAqualityAmaintenanceEnables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.162MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.