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

The description discloses key behavioral traits: it 'costs zero API quota' and 'makes no network call,' which is critical for an agent to understand it is a lightweight, non-destructive operation. Since no annotations are provided, the description fully covers transparency needs.

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 yet informative, consisting of three short sentences. It front-loads the purpose in the first sentence, then adds behavioral context, making it easy to parse.

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 and the presence of an output schema (mentioned in context signals), the description adequately covers the return values (server name, version, transport, API key status). No additional details are needed for an agent to use this tool correctly.

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 1 parameter (echo) with 100% description coverage in the schema itself. The description does not add extra parameter semantics beyond what the schema provides, but it is not necessary given the schema completeness. Baseline score of 3 is appropriate.

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 defines the tool as a 'Liveness check' for the MCP server, specifying it returns server name, package version, transport, and API key status. It distinguishes itself from sibling tools like search_used_cars or get_car_details by focusing on meta-verification rather than car 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?

The description explicitly states 'Use it to verify wiring before invoking real tools,' providing clear guidance on when to use it. While it lacks explicit when-not-to-use instructions, the context is sufficient for an agent to differentiate from data retrieval tools.

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