Technical Summary

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

With no annotations provided, the description carries the behavioral disclosure burden. It openly states the tool is rule-based and informational only, and it lists the exact outputs the agent can expect. It could add caveats about data requirements or limitations, but what is provided is useful and clear.

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 dense sentence with output components listed in a scannable, comma/semicolon-separated structure. It is front-loaded with the core purpose and contains no filler or repetition.

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 tool with one obvious parameter and an output schema, the description covers both input purpose and output contents well. It omits minor details like required price-history depth for SMA50/200 and exact symbol conventions, but these are not critical for normal use.

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 0%, so the description must compensate for the single `symbol` parameter. It doesn't explicitly describe the symbol format or accepted values, but the surrounding description makes clear that the symbol is the security being analyzed, adding some meaning beyond 'string.'

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 defines a 'rule-based technical read' and enumerates the concrete components: SMA50/200 cross, RSI zone, MACD direction, Bollinger position, support/resistance, volume context, and a plain-language outlook. This distinguishes it from raw-data sibling tools like compute_indicators or get_quote.

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 implied by describing the tool as a technical summary and 'informational only,' but no explicit when-to-use or when-not-to-use guidance is given. It does not name alternatives such as compute_indicators or get_price_history, so the agent must infer selection from the purpose.

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