Vultr 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. It states 'update' implying mutation but doesn't disclose behavioral traits like whether changes are reversible, what permissions are required, if there are rate limits, or what happens to unspecified configuration parameters. The return statement mentions 'Updated topic information' but lacks details on format or errors.

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 appropriately sized and front-loaded with the core purpose in the first sentence. The Args and Returns sections are structured clearly, though the return statement is vague ('Updated topic information'). No unnecessary sentences are present.

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 no annotations, 0% schema description coverage, and no output schema, the description is moderately complete. It covers the purpose and parameters well but lacks behavioral context (e.g., side effects, error conditions) and detailed return information, which is a gap for a mutation tool with multiple parameters.

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?

Schema description coverage is 0%, but the description compensates by listing all 6 parameters with brief explanations (e.g., 'New number of partitions', 'New retention time in hours'), adding meaningful context beyond the schema's type definitions. It clarifies that 'database_id' and 'topic_name' are required (implied by the schema), though it doesn't detail null handling for optional parameters.

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 verb 'update' and resource 'Kafka topic configuration', making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'update_record' or 'update_user', which follow similar patterns but for different resources.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., existing topic), exclusions (e.g., cannot update certain properties), or related tools like 'create_kafka_topic' or 'delete_kafka_topic' from the sibling list.

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