generate_fill
Generate drum fills for music production by specifying style and bar length using algorithmic patterns.
Instructions
Generate drum fill
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| style | Yes | Fill style | |
| bars | No | Number of bars |
Generate drum fills for music production by specifying style and bar length using algorithmic patterns.
Generate drum fill
| Name | Required | Description | Default |
|---|---|---|---|
| style | Yes | Fill style | |
| bars | No | Number of bars |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Generate drum fill', implying a creation action, but doesn't specify what is generated (e.g., audio, MIDI, text), whether it's read-only or mutative, or any side effects like rate limits or permissions. This is inadequate for a tool with no annotation coverage.
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 at two words, with zero wasted text. It's front-loaded with the core action, making it efficient for quick scanning, though this brevity contributes to gaps in other dimensions like clarity and guidelines.
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 tool's complexity (generative action with parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what a drum fill is, what the output entails, or behavioral traits, leaving significant gaps for an AI agent to understand and invoke the tool correctly.
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 input schema has 100% description coverage, with parameters 'style' and 'bars' documented in the schema. The description adds no additional meaning beyond the schema, such as examples of styles or bar ranges. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't detract either.
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 'Generate drum fill' clearly states the verb (generate) and resource (drum fill), making the basic purpose understandable. However, it lacks specificity about what a 'drum fill' entails in this context (e.g., musical pattern, audio file, notation) and doesn't differentiate from sibling tools like 'generate_drums' or 'generate_pattern', leaving ambiguity about its unique role.
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 is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, context (e.g., for music composition, practice), or exclusions, and it fails to reference similar sibling tools like 'generate_drums' or 'generate_pattern', leaving the agent to infer usage based on the name alone.
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/youwenshao/filopastry'
If you have feedback or need assistance with the MCP directory API, please join our Discord server