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

No annotations exist, so the description carries the full burden. It discloses that computation uses real OHLC price data and that it's the same engine powering XFINLAB pages, adding useful provenance. However, it does not mention rate limits, error cases, side effects, or output structure, making behavioral transparency partial.

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 one dense sentence that communicates core purpose and output categories without filler. It could be more structurally readable as a list, but it is efficient, front-loaded, and every word adds value.

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 description lists what signals are returned and the data source, which is useful. However, with no output schema and no annotations, the agent is left without information about response structure, how confidence is represented, or possible error conditions, so the context is only partially complete.

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?

All five parameters are described in the schema (100% coverage), so the baseline is 3. The description itself adds no parameter-level detail beyond the schema's examples and defaults, which is acceptable given the schema's completeness.

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 uses a specific verb ('Get') and resource ('technical analysis'), enumerating concrete signal types (trend, MACD, volume, chart patterns, BOS/CHOCH, order-flow, volume-profile) and the data source (real OHLC). This makes the tool's purpose unambiguous and clearly distinct from siblings like get_sentiment or get_market_events.

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 implies usage for technical analysis of a single ticker, but it provides no explicit when-to-use guidance or comparison with alternatives. Sibling tools are clearly different, so an agent can infer this is for chart-based analysis, but no exclusions or routing hints are stated.

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