Skip to main content
Glama
flozonn

Mirelo MCP Server

by flozonn

mirelo_text_to_sfx_generate

Convert text prompts into sound effects. Specify duration, looping, and number of samples to generate audio URLs.

Instructions

Generate sound effects synchronously from a text prompt and return the result URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
loopNoWhether the output should loop seamlessly. Default false.
promptYesText prompt to generate audio from (1-5000 characters).
duration_msNoOutput duration in milliseconds. Integer. When loop is false: 1000-60000; when loop is true: 3000-600000. Default 60000.
num_samplesNoNumber of samples to generate. Integer >= 1. Default 1.
model_versionNoMirelo model version. One of "v1.5" or "v1.6". Omitted or empty resolves to "v1.6".
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It mentions synchronous operation and URL return but omits important traits like error handling, rate limits, idempotency, or required permissions.

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?

The description is a single, well-structured sentence that immediately states the action (generate), resource (sound effects from text prompt), and key traits (synchronous, returns URLs). No wasted words.

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

Completeness2/5

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

Despite 5 parameters and no output schema, the description provides no details on return format (e.g., list of URLs, ordering), duration enforcement, or potential delays. The agent lacks sufficient context for reliable invocation.

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 100%, so all parameters are documented in the input schema. The description adds no extra semantic context beyond what is already provided, meeting the baseline for high coverage.

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 tool generates sound effects synchronously from a text prompt and returns result URLs. It distinguishes itself from sibling tools like preflight and submit by specifying synchronous generation.

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 synchronous use but provides no explicit guidance on when to use this tool versus the preflight/submit workflow or other generation tools. The agent must infer the appropriate choice.

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/flozonn/mirelo-mcp'

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