synter-mcp-server

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

The description adds context about the supported AI providers (Imagen 4, Flux, Stable Diffusion) and the ad creative application, which goes beyond the destructiveHint annotation. However, it doesn't disclose important behavioral traits like what 'destructive' means in this context (e.g., consumes credits, generates new content that can't be undone), rate limits, authentication needs, or output format. With annotations covering the destructive nature, the bar is lower, but more context would be helpful.

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 a single, efficient sentence that states the core purpose and key capabilities without unnecessary words. It's appropriately sized for a tool with good schema documentation and front-loads the essential information. Every word earns its place.

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 4 parameters, 100% schema coverage, and destructiveHint annotation, the description is minimally adequate. It provides the purpose and context but lacks important completeness elements: no output information (no output schema exists), no behavioral details about what 'destructive' entails, and no guidance on provider selection. Given the complexity of AI image generation, more context would be beneficial.

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?

With 100% schema description coverage, the baseline is 3. The description doesn't add any parameter-specific information beyond what's already in the schema descriptions. It mentions the three providers but doesn't explain their differences or when to choose which, which would have added semantic value. The schema already documents all parameters thoroughly.

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: 'Generate an AI image for ad creatives' specifies the verb (generate) and resource (AI image), with the context 'for ad creatives' providing application scope. It distinguishes from sibling tools like 'generate_video' or 'upload_image' by focusing on image generation. However, it doesn't explicitly differentiate from other creative tools in the list beyond the name.

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 three AI providers (Imagen 4, Flux, Stable Diffusion) but doesn't explain when to choose one over another or when to use this versus other creative tools like 'generate_video' or campaign creation tools. There are no explicit when/when-not statements or alternative recommendations.

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