MCP Avantage

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers none. It doesn't indicate whether this is a read-only operation, what data source it queries (e.g., Alpha Vantage), potential rate limits, authentication needs, or what the output looks like. For a financial data tool with 6 parameters, this lack of behavioral context is critical.

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?

While technically concise with just one phrase, this is a case of under-specification rather than effective brevity. The description fails to provide necessary information about the tool's function, making it inefficient for the agent's understanding. Every word should earn its place, but here the single phrase doesn't fulfill the description's purpose.

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 tool with 6 parameters, no annotations, and no output schema, the description is completely inadequate. It doesn't explain what the tool does, how it behaves, what it returns, or when to use it. The 100% schema coverage helps with parameters but doesn't compensate for the missing operational context.

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%, meaning all parameters are documented in the input schema. The description adds no parameter information beyond what's already in the schema, so it doesn't compensate but also doesn't detract. This meets the baseline of 3 for high schema coverage without additional parameter context.

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 'Triangular Moving Average (TRIMA)' is essentially a tautology that restates the tool name with minimal expansion. It identifies the technical indicator but doesn't specify what action the tool performs (e.g., calculates, retrieves, or analyzes TRIMA values). Compared to sibling tools like 'technicalIndicators_sma' or 'technicalIndicators_ema', there's no differentiation in purpose beyond the indicator name.

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 zero guidance on when to use this tool versus alternatives. There's no mention of use cases, prerequisites, or comparisons with sibling technical indicator tools (e.g., when TRIMA is preferred over SMA or EMA). This leaves the agent with no contextual information for tool selection.

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