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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuine behavioral value beyond that: it discloses that the return payload includes pricing tiers, signup URLs, and API-key-passing instructions plus ready-made user-facing wording.

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 front-loaded sentence whose content list is dense but each item earns its place by signalling what comes back. It is slightly run-on but contains no filler.

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?

With no output schema and no parameters, the description carries the burden of describing the return contents, which it does by enumerating plan, caps, prices, URLs, and API-key wording. Slightly more on the exact response shape or whether plans are per-connection would make it fully self-sufficient.

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 tool takes zero parameters, so the baseline is 4 and there is nothing for the description to clarify about inputs.

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?

Names a concrete resource (access/pricing info for this connection) and enumerates its contents: current plan, row caps, prices, URLs, API-key instructions, and user-facing wording. It is clearly distinct from the dataset-querying siblings, though the opening phrase 'How to get full access' frames it as advice rather than stating the purpose outright.

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?

Usage is only implied: the mention of row caps and 'telling a user how to get every row' suggests it should be called when a user hits limits or asks about upgrading. There is no explicit when-to-use statement, no alternative named, and no prerequisites described.

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