fmod_system_verbose
Log a verbose message to the FMOD Studio system for monitoring or debugging.
Instructions
Logs a verbose message. [method · system.verbose]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| msg | Yes |
Log a verbose message to the FMOD Studio system for monitoring or debugging.
Logs a verbose message. [method · system.verbose]
| Name | Required | Description | Default |
|---|---|---|---|
| msg | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only states that it logs a verbose message but does not disclose side effects, output format, or any behavioral traits beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with one sentence and a bracketed annotation. While not verbose, it is minimal and provides no additional value beyond what the name implies.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of the tool (one parameter, no output schema), the description is incomplete. It does not explain the logging mechanism, the meaning of 'verbose', or how it relates to other logging tools, leaving the AI without sufficient context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The parameter 'msg' has no description in the schema and the tool description adds no meaning beyond the schema. The schema allows string, number, or boolean, but there is no explanation of how the message is used or formatted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Logs a verbose message' clearly states the action and the resource (message), but it does not distinguish this tool from sibling logging tools like fmod_console_log or fmod_system_message. The addition of '[method · system.verbose]' adds some context but still does not differentiate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like fmod_console_log, fmod_console_error, or fmod_system_message. There is no mention of prerequisites or conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/EYamanS/fmod-studio-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server