Financial Line Chart

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

Annotations already declare readOnlyHint and idempotentHint=true. Description adds context that it requires matplotlib, creates realistic patterns for educational purposes, and does not use real market data. No contradictions. Slight gap: does not explicitly state that it generates data each call (consistent with idempotent hint if parameters same).

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?

Highly concise: three short paragraphs plus two examples. Front-loaded with purpose, then usage, then notes. Every sentence adds value with no redundancy.

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 4 parameters, no output schema, but annotations present, the description covers purpose, usage, parameter examples, and behavioral notes (matplotlib requirement). Could mention that the output is a displayed plot (not returned data) but not essential for agent usage. Missing explicit return description is minor.

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 coverage is 100% with descriptions for all 4 parameters. Description adds examples and clarifies trend values (bullish, bearish, volatile) and moving average overlay, but these are supplementary rather than essential beyond schema. At baseline 3 since schema already does heavy lifting.

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 it generates and plots synthetic financial price data, with specific mentions of time-series price data and moving average overlay. It distinguishes itself from the sibling tool 'plot_line_chart' by specifying use for financial data vs general XY data.

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?

Explicitly states when to use: 'Use for time-series price data with optional moving average overlay.' Also provides an alternative: 'For general XY data, use plot_line_chart instead.' This gives clear guidance on tool selection.

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