compose
Generate song lyrics or music content.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No |
Generate song lyrics or music content.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden but discloses almost nothing: not the output format (text lyrics? audio?), length, style controls, or whether generation is deterministic. Only the mutation-free nature is implied by 'Generate'.
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?
A single short sentence with no waste and the action front-loaded, which is structurally fine. But the brevity reflects under-specification rather than efficiency, so it is only adequate.
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?
For a tool with no annotations, no output schema, and an undocumented parameter, the description should explain output shape and the role of 'topic'. As written, an agent knows roughly what it does but not how to call it well or what to expect back.
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?
Schema description coverage is 0% and the single 'topic' parameter is undocumented in both schema and description. The description does not explain what topic should contain (a theme, a genre, a mood?) or whether it is optional, leaving a real gap.
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?
States a specific verb ('Generate') and resource ('song lyrics or music content'), so an agent knows the general action. However, 'music content' is broad and vague, and there is no differentiation from the sibling 'converse' tool, so it falls short of a 5.
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 indication of when to use this tool versus the sibling 'converse', nor any prerequisites, constraints, or exclusions. The agent must infer usage entirely on its own.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.