efactura_messages_list

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

No annotations are provided, so the description carries the disclosure burden. It states the tool lists messages (read-oriented intent) and enumerates categories but does not disclose pagination behavior details, authentication prerequisites, or what happens with default/missing parameters. For a read-side listing tool this is acceptable but not rich.

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 tight two-sentence structure that conveys purpose, content scope, and use case with no filler. Every sentence serves a distinct function: defining the action and its platform scope, then enumerating content categories and practical utility.

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?

For a filtered list tool with 100% schema parameter coverage and no output schema, the description adequately covers the essential context: what is listed, where from, what filters exist, and why it's useful. It could note default ordering or whether results span the last N days, but this is sufficient for the tool's complexity.

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 coverage is 100%, so all four parameters (page, limit, status, messageType) are individually documented in the input schema. The description contextualizes these by framing them as pagination and filtering capabilities and naming message categories that align with the enum values. This adds value beyond the bare schema.

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 lists e-Factura messages from the ANAF SPV platform with pagination and filtering. It enumerates the message types (responses, notifications, errors, warnings, informational) and specifies a concrete use case (troubleshooting invoice upload issues). This distinguishes it well from the sibling efactura_messages_get, which presumably retrieves a single message.

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 states its purpose for troubleshooting invoice upload issues, framing when it would be useful. It implies a browse/list use case contrasted with efactura_messages_get (retrieval of a single message), though it does not explicitly name the alternative or give when-not-to-use guidance. Sibling names make the differentiation reasonably inferable.

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