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CosmGrid

Local MCP Dev Runner

by CosmGrid

Create GitHub repository

github_repository_create

Create a new GitHub repository in an allowlisted organization, specifying visibility as public or private. Returns ALREADY_EXISTS if a matching repository already exists.

Instructions

Create a new repository under an allowlisted GitHub organization with specified visibility (public or private). Idempotent: returns ALREADY_EXISTS if repository already exists with matching visibility. Does NOT initialize with README/license/gitignore, does NOT push code, does NOT configure remotes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRepository name
visibilityYesRepository visibility: public or private
descriptionNoOptional repository description
organizationYesAllowlisted GitHub organization name (e.g. CosmGrid)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
ownerYes
statusYes
createdYes
cloneUrlYes
visibilityYes
defaultBranchYes
repositoryUrlYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so well. It discloses idempotency, the ALREADY_EXISTS return behavior, and lists explicit non-actions, which are exactly the behavioral traits an agent needs to know before invoking a creation 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?

Three tightly worded sentences with no filler. The main purpose is front-loaded, followed by high-value idempotency and non-side-effect information. Every sentence earns its place.

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

Completeness5/5

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

For a creation tool with full schema coverage and an output schema, the description is complete. It covers scope, visibility, idempotency, and what the operation will and will not do, giving an agent everything needed to invoke it correctly.

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%, so the schema already documents all four parameters. The description adds 'allowlisted' and 'public or private' context, but these largely repeat existing schema descriptions. Baseline 3 is appropriate since the schema carries the parameter documentation weight.

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 specific operation: creating a new repository under an allowlisted GitHub organization. It also names the key constraint (visibility) and implicitly differentiates itself from sibling tools like github_repository_info by being the creation tool.

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 clear context about what the tool does and what it deliberately does not do (no README/license/gitignore, no pushing code, no configuring remotes). It does not explicitly name sibling alternatives, but its scoping and negative behaviors effectively guide when to use it.

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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