Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

instant_headshot_run_headshot_generation

Generate AI professional headshots from reference photos with configurable style, background, attire, and quality. Supports custom prompts and up to 4 variations.

Instructions

Generates AI professional headshots from reference photos using Gemini Pro Image. Supports configurable style, background, attire, count (1-4), quality (standard 1K / high 2K), aspect ratio, and custom prompts. Includes 3-layer content moderation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
photos_jsonYesJSON array of photo objects: [{"base64": "...", "mimeType": "image/jpeg"}]. Up to 3 photos.
styleYesprofessional
backgroundYesstudio_white
attireYeskeep_original
countNoHow many variation images to generate (1-4).1
qualityNoStandard: 1K output, ~15s/image. High: 2K output, ~30s/image.standard
aspect_ratioNo1:1
custom_promptNoOptional: override the auto-generated prompt. Pose angles are appended per variation.
output_variable_nameYesReference results as {{headshot_result.images}}, {{headshot_result.run_id}}, etc.headshot_result
Behavior3/5

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

With no annotations, the description carries full burden. It discloses processing time estimates and content moderation but omits details on error handling, quota limits, or output format.

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 sentences, front-loaded with the primary action, no extraneous text. Efficiently lists key features without redundancy.

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?

Covers inputs and moderation but lacks output schema or detailed behavior (e.g., how custom_prompt interacts, what moderation failure entails). Adequate for basic use but incomplete for nuanced scenarios.

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 coverage is 56%. The description adds value by explaining time estimates for quality and hinting at output variable usage, but many parameters (e.g., style, background) rely solely on enums without further context.

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 verb 'generates' and the resource 'AI professional headshots' using a specific model. It lists key configurable options, making it easy to distinguish from the sibling tool 'instant_headshot_render_headshot_report'.

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 for generating headshots but lacks explicit guidance on when to choose this tool over alternatives (e.g., the render report tool) or prerequisites like reference photo requirements.

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/OnStartups/agentai-mcp-server'

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