orbuc-mcp-server

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

Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context by disclosing the specific return fields (status, latest date, total market cap, tracked coins/chains), which compensates for the absence of an output schema. No contradictions with annotations are present.

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 consists of two efficient sentences: the first establishes the operation's purpose, and the second details the return payload. There is no redundant or wasted text; every word serves to clarify the tool's function or output.

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 simplicity (zero parameters) and rich annotations covering operational safety, the description is appropriately complete. It successfully compensates for the missing output schema by enumerating the returned fields. A minor gap exists in not describing error states or explicit monitoring workflows, but this is sufficient for a health-check endpoint.

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 contains zero parameters, establishing a baseline score of 4. With no parameters requiring semantic clarification, the description appropriately focuses on the operation's purpose and return values rather than parameter details.

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 provides a specific verb ('Check') + resource ('health of the stablecoin market cap tracker') that clearly identifies this as a health monitoring endpoint. It effectively distinguishes itself from sibling data-retrieval tools like orbuc_stablecoin_mcap and orbuc_stablecoin_latest by explicitly targeting 'health' status rather than current market data.

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?

While the description implies usage context (monitoring tracker health), it lacks explicit when-to-use guidance such as 'use this to verify data freshness before calling other stablecoin tools' or contrast with alternatives. The distinction from siblings is implicit in the 'health' terminology but not explicitly articulated.

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