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

The annotations already declare readOnlyHint=true and destructiveHint=false, but the description adds useful behavioral context: the call consumes no credits and the monthly pool is shared by generation and DAW conversions. That budget-consumption detail is valuable beyond the annotations, though return formatting and auth requirements are not described.

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?

Two tight sentences, with purpose and returned information front-loaded. The read-only/no-consumption caveat and usage recommendation each earn their place.

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 zero-parameter tool with full annotation coverage and no output schema, the description is complete enough to call correctly. It states what the tool reports, that it is read-only, that it consumes nothing, and when to use it.

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?

There are zero parameters, so the baseline is 4. The description appropriately uses the space to explain account fields and credit semantics rather than parameter behavior.

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 specific verb and resource: checking the connected doseedo account. It enumerates the concrete data returned: plan tier, monthly credit pool, extra-usage credits, and storage. It also distinguishes this diagnostic tool from the many action-oriented sibling tools.

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?

It explicitly says to use the tool before starting expensive work to confirm budget, which gives clear usage context. It does not name an alternative or a when-not-to-use condition, but the guidance is sufficient for a zero-parameter read-only account check.

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