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

Beyond the read-only and non-destructive annotations, the description discloses the SignalDock account prerequisite, coverage limited to existing API data, missing-data warnings, and the important distinction between pending and completed analysis. It would be stronger if it explained how a pending analysis is subsequently retrieved or completed.

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 compact and front-loads the connection prerequisite, followed by scope and two important result caveats. Each sentence contributes distinct operational information without unnecessary wording.

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?

The definition is minimally sufficient to attempt a call using the required symbol and section fields, and it communicates important partial-data and pending-state behavior. Nevertheless, the lack of an output schema and low parameter documentation leave gaps around section selection, response navigation, pagination, and pending-result follow-up.

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?

With only 20% schema description coverage, the description needed to compensate more substantially. Its topic list loosely clarifies the six section choices, but it does not explain the symbol format, section-to-topic mapping, path navigation, or how limit and offset affect returned data.

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?

Together with the title, the topic list makes clear that the tool researches a security across technical analysis, forecasts, estimates, earnings, valuation, and capital structure. It does not distinguish this broad research tool from siblings such as earnings_history, compare_symbols, or read_report.

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 account-connection prerequisite and research-topic list imply appropriate use cases. However, there is no explicit guidance on selecting a section, when not to use the tool, or which sibling to use for narrower requests.

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