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EYamanS

fmod-studio-mcp

by EYamanS

fmod_project_buildEnded_connect

Registers a callback that triggers after bank builds, receiving a success flag to handle build completion or errors.

Instructions

Sets a function to be called after banks are built, with the signature function(success) . The success argument will be false if a build error occurs or the build is cancelled by the user, and true otherwise. For example: [method · project.buildEnded.connect]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
callbackYesA callback function that will be called when the build has ended.
Behavior3/5

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

With no annotations, the description carries the full burden. It explains the callback signature and the 'success' argument's meaning, and mentions build cancellation. However, it does not disclose whether multiple callbacks can be set, if it replaces prior connections, or what the function (implicitly a signal connection) returns. Behavioral details are moderate.

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 uses two sentences to state purpose and add signature detail, with an example. It is relatively concise but the example code snippet could be clarified. No extraneous text.

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

Completeness3/5

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

For a simple callback-setting tool with one parameter and no output schema, the description provides essential information. However, it lacks mention of return value or side effects (e.g., whether connection persists). With no annotations, this is adequate but not fully comprehensive.

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 is generic ('A callback function...'), but the tool description adds crucial semantics: the callback's signature (function(success)) and the meaning of success (false on error/cancel, true otherwise). This significantly aids understanding beyond the schema for the single parameter.

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 sets a callback function to be invoked after banks are built, with a specific verb-resource pair ('Sets a function to be called after banks are built'). It distinguishes itself from siblings like fmod_project_buildEnded_disconnect and fmod_project_buildEnded by specifying it's the connection variant.

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 does not provide guidance on when to use this tool versus alternatives like fmod_project_buildEnded_disconnect or other connection tools. It lacks context on prerequisites, use cases, or conditions that would help an AI agent decide to invoke it.

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

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