Statonic MCP

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

With no annotations provided, the description carries the full burden. It discloses that the tool generates '5 high-quality hook text options' and uses 'proven formulas,' but lacks details on behavioral traits like error handling, rate limits, or authentication needs. It doesn't contradict annotations, but offers only basic operational context.

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 front-loaded and concise with three sentences that each add value: stating the purpose, output format, and usage timing. There's no wasted text, and it efficiently communicates key information without redundancy.

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 (2 parameters, no output schema, no annotations), the description is fairly complete. It covers purpose, usage context, and output readiness, but lacks details on behavioral aspects like error cases or performance limits, which would be helpful for a generation tool with no output schema.

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 100%, so the schema fully documents the two parameters ('topic' and 'count'). The description adds no additional parameter semantics beyond implying 'count' defaults to 5, which is already in the schema. This meets the baseline for high schema coverage.

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 with specific verbs ('Generate 5 high-quality hook text options') and resources ('for a given topic, using proven formulas from hook-knowledge.json'). It distinguishes from siblings by specifying it's for hook text generation, unlike tools like 'analyze_video_clip' or 'get_suitable_audio' that handle different tasks.

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 explicit usage guidance: 'Call this before creating any project to get the best hook text.' This tells the agent when to use this tool (as a preparatory step) and implies it's not for other contexts like analysis or editing, though it doesn't name specific alternatives.

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