get_technical_indicators

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

With no annotations, the description carries the burden of disclosing behavior. It reveals the data source (Alpha Vantage) and rate limits, but lacks details on error handling, caching, required authentication, or response format. The indicator thresholds are helpful but not tool behavior.

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 structured as a bulleted list with brief explanations per indicator, plus a note on rate limits. It is relatively concise with no extraneous content, though the indicator list is lengthy.

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?

Despite good schema coverage, the description fails to explain what the output contains (e.g., numeric values, timestamps). Without an output schema, this is a significant gap. Also, it does not mention that some indicators may require additional parameters (e.g., period) not in the schema.

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%, but the description adds significant value by explaining each indicator's purpose and typical thresholds (e.g., RSI overbought/oversold), which is not in the schema. This helps an agent choose the right indicator.

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 clearly states it calculates technical indicators for any stock, lists all 10 indicators with concise explanations, and is easily distinguishable from sibling tools that focus on earnings, sentiment, or market news.

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 mentions the Alpha Vantage rate limit (25 req/day) and advises choosing indicators wisely, but does not explicitly state when to use this tool over alternatives like 'explain_indicator' or 'get_stock_insight', nor when not to use it.

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