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

With no annotations, the description carries the behavioral disclosure burden. It usefully states the exact dashboard outputs and signals a 'PRO' subscription constraint, but it does not describe auth requirements, rate limits, or error behavior beyond what the access_token schema implies.

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 single efficient sentence that lists the key return values. It is appropriately sized, though the leading 'PRO.' is not front-loaded purpose information and is somewhat ambiguous.

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 one-parameter dashboard endpoint with no output schema, the description adequately explains what data will be returned. It could be more complete by naming sibling alternatives or clarifying the PRO/access-token relationship, but the essential calling information is present.

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 is one optional parameter and schema description coverage is 100%, so the schema already explains that access_token is a subscriber token from /success or Authorization: Bearer. The description adds no additional parameter semantics, which is acceptable given full schema coverage.

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 states that the tool returns all key indicators at once, including latest value, prior period, percent change, and CPI year-over-year inflation. That is a clear data-retrieval purpose, but it does not distinguish the tool from siblings indicator and vector_series.

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 explicit guidance on when to use dashboard versus indicator or vector_series. The phrase 'All key indicators at once' hints at a summary view, but the agent must infer that usage from contrast rather than from stated alternatives.

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