Skip to main content
Glama

Create Agent Tool

create_agent

Create a processing "agent" for the team — a saved configuration that controls how videos are processed and rendered. Agents are shared across the team.

Pass a name (required) and optionally: caption_preset (a key from list_caption_presets), personality_preset (one of: professional, genz, creator, provocative, custom), custom_personality_description (required when personality_preset is "custom"; tone/style guidance only), and repurpose_textual_content (bool).

Returns the new agent's id (hashid) you can pass to submit_video. Fails if the team has reached its plan's agent limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesA name for the agent.
caption_presetNoA caption preset key from list_caption_presets.
personality_presetNoContent personality: professional, genz, creator, provocative, or custom.
composition_parametersNoRendering controls (zoom/pan/b-roll/captions, transition, logo watermark). Call describe_agent_settings for the exact fields, types and defaults. Unknown keys or out-of-range values are rejected.
caption_style_overridesNoCaption styling layered on top of caption_preset (fonts, colors, stroke, animation, emoji, …). Call describe_agent_settings for the field list and allowed values; an omitted field keeps the preset value.
repurpose_textual_contentNoAI Writer: after each transcript, turn the video into text content (quotes, insights, social posts). Uses 1 credit per minute of video, charged once per video. Off by default.
custom_personality_descriptionNoTone/style guidance, required when personality_preset is "custom".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / repurpose_textual_content / description
      Previous value: -"Whether to repurpose the source into textual content."New value: +"AI Writer: after each transcript, turn the video into text content (quotes, insights, social posts). Uses 1 credit per minute of video, charged once per video. Off by default."
  2. Changed1 schema field changed
    • removedInput schema / properties / tracker_model
      Removed value: -{
      -  "description": "\"grid\" (auto-reframe) or \"speaker\" (speaker tracking; paid plans only). Defaults to grid.",
      -  "type": "string"
      -}
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations cover the safety profile (not read-only, not destructive, closed world), and the description adds real value beyond them: team-wide sharing semantics, the id (hashid) return, the plan-limit failure mode, and that repurpose_textual_content costs 1 credit per minute charged once per video. Remaining gap is what happens to skipped/omitted fields on defaults, though composition_parameters defers to describe_agent_settings.

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?

Two tight paragraphs, front-loaded with the definition and the required parameter before optional detail, and the return/failure note closes it. Minor redundancy in re-listing the personality_preset values that the schema already enumerates.

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?

With no output schema, the description correctly states the return (new agent id/hashid) and the failure mode, and it delegates the nested rendering/caption objects to describe_agent_settings. For a 7-param tool with nested objects this is nearly complete, though the deferral leaves composition_parameters fully opaque in this definition.

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 coverage is 100%, so the baseline is 3; the description still adds cross-tool routing (caption_preset comes from list_caption_presets, composition_parameters/caption_style_overrides from describe_agent_settings), the conditional requirement on custom_personality_description, and the credit cost of the repurpose flag. It does partly restate the personality_preset enum already in the schema.

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?

States a specific verb+resource ('Create a processing agent') and immediately defines what an agent is — a saved team-shared configuration controlling video processing/rendering. This clearly separates it from list_agents, update_agent, and submit_video without opening any schema.

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?

Gives the required/optional parameter split, the conditional rule for custom_personality_description, and a failure condition (plan's agent limit). It implies creation-versus-modification via the sibling set but never explicitly says 'to change an existing agent use update_agent'.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources