Swarmrails 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 successfully discloses the financial cost per invocation and identifies the specific backend mechanism (subnet 4/Targon), but omits information about return format, rate limits, idempotency, or authentication requirements.

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?

Three sentences efficiently convey the tool's function, optimal use case, and cost structure without redundancy. Information is front-loaded with the core capability, followed by usage context and operational cost.

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 simple single-parameter input and lack of output schema, the description adequately covers the primary operational context (purpose, cost, and subnet identity). However, it fails to describe the expected output format or structure, which would be helpful given the absence of an 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?

The input schema has 100% description coverage for its single 'prompt' parameter. The description does not add additional semantic details about the parameter beyond what the schema provides, meriting the baseline score for high-coverage schemas.

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 performs 'Advanced reasoning' using 'Bittensor subnet 4 (Targon)' and distinguishes its intended use case as 'complex multi-step problems,' differentiating it from siblings like bittensor_text or bittensor_llm. However, it stops short of explicitly naming alternative tools for simpler 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?

Provides implied usage guidance by stating it is 'Best for complex multi-step problems' and includes critical cost information ('$0.05 per call'), but lacks explicit when-not-to-use guidance or named alternatives from the sibling tool set.

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