Skip to main content
Glama

create_motion

Create a draft motion in a Monnet workspace from a free-form prompt. Get the motion's ID and URL immediately while Monnet drafts the summary, body, and plan in the background.

Instructions

Create a new draft motion in a Monnet workspace from a free-form prompt. Returns the new motion's id and URL immediately — a background Monnet run drafts the summary, body, and plan over the next few seconds. Call get_motion with the returned short_id to inspect the draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesWhat the motion should accomplish, in the user's own words plus any relevant context. Substance matters — the background Monnet run drafts the full motion from this.
workspace_slugYesThe workspace slug (e.g. 'monnet-team-410b').
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It transparently explains the asynchronous nature (returns immediately while a background Monnet run drafts the full motion) and the return values (id and URL). It does not cover error conditions or permission requirements, which is a minor gap.

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 concise, front-loaded sentences cover purpose, behavior, and follow-up instructions. There is no filler or redundancy.

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

Completeness5/5

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

The description fully covers the creation flow, including the async drafting process and how to retrieve the result via get_motion. Even without an output schema, it provides sufficient context for an agent to use the tool correctly.

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%, with both parameters already well-described in the schema. The description adds no additional parameter semantics beyond what the schema provides, so the baseline score of 3 applies.

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 'Create a new draft motion in a Monnet workspace from a free-form prompt' with a specific verb and resource, distinguishing it from sibling tools like get_motion and update_motion. It also specifies the immediate return of id and URL.

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?

The description implies the tool is for creating new motions and instructs the agent to call get_motion with the returned short_id to inspect the draft. However, it does not explicitly state when not to use it or mention alternative tools for different scenarios.

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/GregoireCasoetto/monnet-mcp'

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