Maid-MCP

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'optional emotion' and 'Japanese accent default', which gives some context about voice characteristics, but fails to disclose critical behavioral traits such as whether this is a read-only or mutating operation, what permissions are required, rate limits, output format (e.g., audio file, stream), or any side effects. This leaves significant gaps for an agent to understand how to invoke it correctly.

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 and front-loaded with the core purpose in the first phrase. Every word earns its place: 'Convert text to speech' states the action, and 'with optional emotion (Japanese accent default)' adds necessary context without redundancy. It's a single, efficient sentence with no waste.

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 moderate complexity (text-to-speech conversion with emotional modulation), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., audio data, success status), any prerequisites, or behavioral constraints. While concise, it fails to provide enough context for an agent to fully understand the tool's operation and outcomes.

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 schema description coverage is 100%, with both parameters well-documented in the schema ('text' and 'emotion' with enum values). The description adds minimal value beyond the schema by mentioning 'optional emotion' and 'Japanese accent default', which slightly clarifies the emotion parameter's context but doesn't provide additional semantic meaning. This meets the baseline of 3 when schema coverage is high.

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 clearly states the tool's purpose as 'Convert text to speech' with the specific action 'convert' and resource 'text to speech', which is distinct from sibling tools focused on animations, avatars, poses, and voices. However, it doesn't explicitly differentiate from potential similar text-to-speech tools that might exist elsewhere, keeping it at a 4 rather than 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?

The description provides no guidance on when to use this tool versus alternatives. It mentions 'optional emotion (Japanese accent default)' but doesn't explain when to choose this over other voice or speech tools, nor does it reference any sibling tools for comparison. There's no explicit when/when-not usage context.

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