Usage And Billing MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Create meter' implies a write operation but offers no details on permissions, side effects, error conditions, or response format. It fails to address whether creation is idempotent, what data is initialized, or how it interacts with related tools like 'report_usage'.

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 ('Create meter'), which is efficient but borders on under-specification. While it avoids waste, it lacks the front-loaded detail needed for a creation tool—such as purpose or outcome—making it minimally viable rather than optimally structured.

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 complexity of a creation tool with no annotations, no output schema, and sibling tools like 'report_usage', the description is incomplete. It does not explain what a meter is, how it's used, or what the creation yields, leaving significant gaps for an agent to understand the tool's role in the system.

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 0 parameters with 100% description coverage, so no parameter documentation is needed. The description appropriately does not attempt to describe nonexistent parameters, avoiding redundancy. This aligns with the baseline expectation for tools without 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 'Create meter' is a tautology that merely restates the tool name without adding meaningful context. It specifies the verb 'Create' and resource 'meter', but lacks any detail about what a meter represents or what creation entails. This provides minimal differentiation from sibling tools like 'create_plan' or 'create_product' beyond the resource name.

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. There is no mention of prerequisites, conditions for creation, or relationships to sibling tools like 'get_meter', 'get_meters', or 'report_usage'. This leaves the agent with no contextual cues for appropriate invocation.

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