Skip to main content
Glama

create_project

Create a new project with a specified type and optional title, description, and configuration data for social media management.

Instructions

Create a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoFlexible JSON data for this project. Has a base schema with flags (Dict[str,bool]) but accepts any additional fields. Used to store project-specific config like campaign settings, prompts, image params, etc.
titleNoProject title (defaults to "Untitled Project" if omitted)
descriptionNoOptional project description
primary_typeNoFree-form project category string. Known values include: ad, SMQuotes, AIAvatarVideo, AiProductVideos, UGCVideo, ImageYTThumb, campaign, blog, or any custom type.
resourcetypeYesProject type selector. Determines the model and serializer used. The API is polymorphic — the same URL structure serves different project types depending on this value.
Behavior1/5

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

No annotations are provided. The description does not disclose any behavioral traits: no mention that the tool is polymorphic via the required 'resourcetype' parameter, nor any side effects, permissions, or idempotency. The description is dangerously incomplete for a creation operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

At three words, the description is technically concise but severely under-specified. It fails to earn its place by providing any useful information beyond the tool name. Conciseness should not come at the expense of completeness.

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

Completeness1/5

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

Given the complexity (5 parameters, nested 'data' object, polymorphic behavior via resourcetype, no output schema), the description is woefully incomplete. The agent lacks crucial context about what a project is, how the polymorphic type selection works, and what the output looks like.

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% - each parameter has a description explaining its role. The tool description adds no additional parameter information, but baseline 3 is appropriate since the schema already serves this purpose adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

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

The description 'Create a project' is a near-tautology of the tool name. It states the verb and resource but provides no specificity or differentiation from sibling tools like create_board or create_document. A tool named create_project should at least indicate what constitutes a 'project' in this system.

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 on when to use this tool versus other creation tools (e.g., create_board, create_document). No context on prerequisites, typical use cases, or exclusions. The agent is left to guess from the name alone.

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/celeryhq/simplified-mcp-server'

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