byok-observability-mcp

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions what the tool does (check connectivity, retrieve status) but lacks details on behavioral traits such as whether it requires authentication, potential rate limits, error handling, or what the output format looks like. For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves operationally.

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 very concise and well-structured, consisting of two sentences that directly state the purpose and usage guidelines. Every sentence earns its place by providing essential information without any fluff or redundancy, making it easy to parse and understand quickly.

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 (0 parameters, no output schema, no annotations), the description is adequate but not fully complete. It explains what the tool does and when to use it, but without annotations or an output schema, it lacks details on behavioral aspects like authentication needs or return format. For a health-check tool, this is a minimal viable description that covers basics but leaves room for improvement in transparency.

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 tool has 0 parameters, and the schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately doesn't mention any. This meets the baseline for tools with no parameters, as it avoids unnecessary information.

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: 'Check Grafana connectivity and retrieve version and database status.' This specifies the verb ('check', 'retrieve') and resources ('connectivity', 'version', 'database status'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'prometheus_health' or 'obs_health_check', which serve similar health-check functions for other systems.

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 clear context for when to use this tool: 'Use this to verify the Grafana integration is working.' This gives a specific use case (verification of integration) that guides the agent appropriately. It doesn't explicitly state when not to use it or name alternatives (e.g., other health checks for different systems), but the context is sufficient for basic guidance.

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