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github-stars-mcp

by SalAkBuK

github_create_user_list

Create a new GitHub list to organize starred repositories. Specify a name, privacy setting, and optional description to categorize repos.

Instructions

Create a new native GitHub Star List on github.com (requires token with 'user' scope).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the new list (e.g., 'AI & LLM Tools').
is_privateNoWhether the list should be private. Default: false.
descriptionNoOptional description of the list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.5.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the token scope requirement and the creation action, but does not describe the response format, success/failure behavior, potential side effects, or rate limits. For a mutation tool, this is a significant gap in behavioral transparency.

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, well-structured sentence that front-loads the action and key requirement. It is concise with no redundant words, earning a perfect score for efficiency.

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?

Given the simplicity of the tool (3 parameters, all described) and the absence of an output schema, the description is mostly adequate but misses critical context: it does not state what the tool returns (e.g., the created list object or an ID) or how errors are handled. This leaves an agent uncertain about the post-call state.

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%, meaning all parameters (name, is_private, description) are already documented with clear descriptions in the input schema. The tool description adds no extra meaning 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.

Purpose5/5

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

The description clearly states the action (Create), the resource (native GitHub Star List), and the platform (github.com), and distinguishes it from sibling tools like github_get_user_lists (retrieval) and github_assign_repo_to_lists (assignment). It also mentions the token scope requirement, leaving no ambiguity about what the tool does.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage (create a list) but does not explicitly state when to use this tool versus alternatives or when not to use it. For a simple creation tool, the intent is fairly obvious, but there is no guidance on conditions that would make a different tool more appropriate, such as updating or deleting lists.

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