byok-observability-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 effectively describes key behavioral traits: it's a 'meta-tool' that performs 'parallel' queries across multiple backends, automatically checking specific systems for predefined issues (alerts, offline endpoints, offline brokers). However, it doesn't mention potential limitations like rate limits, authentication requirements, or error handling.

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 perfectly concise and well-structured in two sentences. The first sentence establishes the tool's nature as a meta-tool and its purpose. The second sentence provides specific implementation details about which backends it checks and for what conditions. Every word earns its place with no 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 complexity as a meta-tool with no parameters and no output schema, the description provides good contextual completeness. It explains what the tool does, which systems it queries, and what it looks for. However, without an output schema, it doesn't describe what format the RCA results will be returned in, which is a minor gap for a tool performing complex multi-system analysis.

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 with 100% schema description coverage, so the baseline is 4. The description appropriately doesn't discuss parameters since none exist, maintaining focus on the tool's functionality rather than unnecessary parameter explanations.

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 as a 'meta-tool that performs parallel root cause analysis (RCA) queries across all enabled backends.' It specifies the exact actions (checks Grafana for firing alerts, Prometheus for offline endpoints, and Kafka for offline brokers) and distinguishes itself from sibling tools by being a comprehensive investigation tool rather than individual backend queries.

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 indicates when to use this tool: for 'root cause analysis (RCA)' investigations. It implies alternatives by listing specific backend checks (Grafana, Prometheus, Kafka), suggesting that individual sibling tools like grafana_list_alerts or prometheus_query could be used for targeted queries instead of this comprehensive meta-tool.

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