MCP Avantage

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

No annotations are provided, so the description must fully disclose behavioral traits. It fails to mention what the tool returns (e.g., time series data, indicator values), any rate limits, authentication needs, or computational characteristics. The description offers no behavioral information beyond the tool's name.

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 concise, the description is under-specified—it's a single phrase that doesn't convey purpose or usage. Conciseness should not come at the cost of clarity; here, brevity results in insufficient information, making it ineffective rather than efficient.

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 (a technical indicator tool with 6 parameters, no annotations, and no output schema), the description is severely incomplete. It lacks purpose, usage guidelines, behavioral details, and output information, failing to provide the necessary context for an AI agent to use the tool effectively.

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 semantics beyond what the schema provides (e.g., it doesn't explain how 'time_period' relates to T3 calculation or typical values). Baseline score of 3 is appropriate since the schema handles parameter documentation adequately.

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 'Triple Exponential Moving Average (T3)' merely restates the tool name 'technicalIndicators_t3' in expanded form, making it tautological. It doesn't specify what the tool actually does (e.g., calculate T3 values for a given stock symbol) or distinguish it from sibling technical indicator tools like 'technicalIndicators_ema' or 'technicalIndicators_tema'.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention any context, prerequisites, or comparisons with sibling tools (e.g., other moving average indicators like EMA or TEMA), leaving the agent with no usage direction.

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