MCP Avantage

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what the tool calculates but doesn't describe how it behaves: no information on output format (though datatype parameter hints at JSON/CSV), rate limits, authentication needs, error handling, or whether it's a read-only operation. For a tool with 6 parameters and no annotations, this leaves significant gaps in understanding its operational characteristics.

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 directly states the tool's purpose with zero wasted words. It's appropriately sized for what it communicates and is front-loaded with the core functionality. Every word earns its place in defining this technical indicator.

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?

Given the complexity of a technical indicator with 6 parameters, no annotations, and no output schema, the description is incomplete. It explains what TRIX is but doesn't provide context about typical use cases, interpretation of results, or how it fits within the broader technical analysis toolkit. For a tool that likely returns numerical indicator values, the absence of output schema means the description should at least hint at the return structure.

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%, so the schema already documents all 6 parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. It doesn't explain how parameters like 'time_period' or 'series_type' specifically relate to TRIX calculation. Baseline 3 is appropriate when the schema does all the parameter documentation work.

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 the tool calculates the '1-day Rate Of Change (ROC) of a Triple Smooth EMA (TRIX)', which is a specific technical indicator. It distinguishes itself from siblings like 'technicalIndicators_rocr' (Rate of Change) and 'technicalIndicators_tema' (Triple Exponential Moving Average) by combining both concepts. However, it doesn't explicitly mention it's for financial time series data, which is implied but could be more explicit.

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 guidance on when to use this tool versus alternatives. With many sibling technical indicators (e.g., 'technicalIndicators_ema', 'technicalIndicators_rocr'), there's no indication of when TRIX is preferred for momentum analysis over other indicators. It also doesn't mention prerequisites like needing historical price data or typical use cases in technical analysis.

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