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 implies a read-only operation by using 'Get', but does not specify if it requires authentication, has rate limits, or details the response format (e.g., JSON structure, error handling). This leaves significant gaps for a tool with potential operational impact.

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 a single, efficient sentence that front-loads the purpose and key details. It avoids redundancy and wastes no words, though it could be slightly more structured by separating usage context from data 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 moderate complexity (health check with one parameter), no annotations, and no output schema, the description is minimally adequate. It covers what data is returned but lacks details on behavior, error cases, or output format, which are important for a health monitoring tool in a system like Kafka.

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, clearly documenting the single required parameter 'cluster_name'. The description does not add any parameter-specific details beyond what the schema provides, such as format examples or constraints, so it meets the baseline for high schema coverage without extra value.

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 action ('Get broker health') and resource ('for a Kafka cluster'), and specifies the data returned (broker IDs, hosts, ports, disk usage). However, it does not explicitly differentiate from sibling tools like 'kafka_list_clusters' or 'kafka_describe_topic', which reduces it from a perfect score.

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 no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as needing the cluster name, or compare it to related tools like 'kafka_list_clusters' for listing clusters or 'kafka_describe_topic' for topic details, leaving usage context unclear.

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