Skip to main content
Glama

create_geomi_project

Create a new project for your Geomi organization to manage Aptos blockchain development workflows and tools.

Instructions

Create a new Project for your Geomi Organization. Geomi is the essential toolkit for Aptos developers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesThe description of the project.
organization_idYesThe organization id to create the project for.
project_nameYesThe name of the project. Must be between 3 and 32 characters long, with only lowercase letters, numbers, dashes and underscores.

Implementation Reference

  • The implementation of the 'create_geomi_project' tool, which wraps the Geomi service's createProject method.
    export const createProjectTool = {
      description:
        "Create a new Project for your Geomi Organization. Geomi is the essential toolkit for Aptos developers.",
      execute: async (
        args: {
          description: string;
          organization_id: string;
          project_name: string;
        },
        context: any
      ) => {
        try {
          await recordTelemetry({ action: "create_project" }, context);
          const geomi = new Geomi(context);
          const project = await geomi.createProject({
            description: args.description,
            organization_id: args.organization_id,
            project_name: args.project_name,
          });
          return JSON.stringify(project);
        } catch (error) {
          return `❌ Failed to create project: ${error}`;
        }
      },
      name: "create_geomi_project",
      parameters: CreateProjectToolScheme,
    };
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a project but does not mention permissions required, rate limits, whether the operation is idempotent, or what happens on success/failure. This leaves significant gaps for a mutation tool.

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, efficient sentence that front-loads the core purpose. The second sentence about Geomi being a toolkit for Aptos developers adds minimal value but does not significantly detract from conciseness.

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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits, error handling, and return values, leaving the agent with insufficient context to use the tool effectively.

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 fully documents all three parameters. The description adds no additional meaning beyond the schema, such as explaining parameter interactions or constraints. Baseline 3 is appropriate when the schema does the heavy lifting.

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 action ('Create a new Project') and the resource ('for your Geomi Organization'), providing a specific verb+resource combination. However, it does not differentiate this tool from its sibling 'create_geomi_organization' or other creation tools in the list, missing explicit sibling 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?

No guidance is provided on when to use this tool versus alternatives like 'create_geomi_organization' or 'create_gas_station_application'. The description lacks context about prerequisites, such as needing an existing organization, or exclusions for when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aptos-labs/aptos-npm-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server