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 implies a read from a database but says nothing about selection logic, fallback behavior when no endpoint exists, whether the result is cached, or any auth requirement — all material for an endpoint-resolution call.

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?

A single short, front-loaded sentence with no filler. It is efficient, though the terseness contributes to the missing selection-criteria detail rather than compensating for it.

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 simple lookup with a fully documented 2-parameter schema and no output schema, the definition is minimally adequate. The unresolved gaps are the meaning of "best" and the empty-result case, which are central to invoking it correctly.

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 100% and the chain enum documents the default and the Sepolia exclusion, so the schema does the heavy lifting. The description adds no additional parameter meaning, which is the expected baseline here.

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 names a concrete resource and qualifier ("Best available MCP endpoint URL from the platform DB"), which is enough to tell it apart from list-style siblings like actora_endpoint_list or actora_endpoint_status. However, it never states the criterion for "best" (latency, recency, health score), so the core semantics remain fuzzy.

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?

There is no when-to-use guidance and no mention of the four closely related sibling tools (actora_endpoint_active, actora_endpoint_list, actora_endpoint_probe, actora_endpoint_status). An agent must guess whether to call this or probe/active first when resolving an endpoint.

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