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ssm82

syntx-ai-mcp

by ssm82

create-agent

Creates and configures an AI agent with a required name, system prompt, and model, plus optional tools, style instructions, chat history access, and default media models.

Instructions

Create an AI agent. Mirrors syntx.agents.create. Posts multipart/form-data to POST /api/v1/agents/create. name, system_prompt and model_name are required (the web client enforces the same). enabled_tools / default_models are objects and travel as JSON strings inside the multipart body.

Input Schema

NameRequiredDescriptionDefault
nameYesAgent display name.
model_nameYesModel the agent runs on, e.g. "gpt-4.1".
descriptionNoOptional short description.
style_promptNoOptional response-style instructions.
enabled_toolsNoTool toggles, e.g. `{"web_search": true, "sora_image": true, "suno_audio": true, "veo3_video": true, "code_interpreter": true}`. Unknown tool names are rejected server-side.
system_promptYesSystem instructions that drive the agent.
default_modelsNoDefault model per media scope, e.g. `{"image": "gpt-image-1"}`.
use_chat_historyNoWhether the agent may read the conversation history.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.4.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description must carry the behavioral burden. It usefully discloses the HTTP method, multipart/form-data encoding, and that enabled_tools/default_models travel as JSON strings, but it does not cover authentication requirements, side effects, or post-creation behavior.

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 front-loaded with the core purpose, followed by implementation details in a logical order. It is mostly efficient, though 'Mirrors syntx.agents.create' and 'the web client enforces the same' are slightly less essential than the rest.

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

Completeness4/5

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

For a create tool with no annotations and no output schema, the description gives the agent enough to construct a correct call: endpoint, required fields, and multipart serialization details. It does not describe return values or auth, but the schema coverage is complete for parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameter meaning is already well documented. The description adds value by reiterating the three required fields and, more importantly, explaining that enabled_tools/default_models are objects serialized as JSON strings inside the multipart body.

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 states a clear verb and resource: 'Create an AI agent' and references the specific API endpoint. It is distinguishable from list/get/update/delete siblings by the verb, though it does not explicitly name an alternative sibling as a contrast.

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?

The description provides no explicit guidance on when to use create-agent versus update-agent, list-agents, or other sibling tools. Usage is only implied by the verb 'Create', with no when-not or alternative conditions stated.

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