expense_spending_trends

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 implies a read-only analysis operation but doesn't specify whether it requires authentication, how it handles data (e.g., aggregation methods, time periods), potential rate limits, or what the output looks like (e.g., charts, tables, metrics). For an analytics tool with zero annotation coverage, this is a significant gap in transparency.

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 with no wasted words, making it easy to parse. However, it's front-loaded with only basic information and lacks structural elements like examples or clarifications that could enhance usability without sacrificing brevity.

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 trend analysis, lack of annotations, no output schema, and vague purpose, the description is incomplete. It doesn't explain what 'spending trends' entail, how results are returned, or behavioral aspects like data sources or limitations. For a tool that likely produces analytical insights, this leaves critical gaps for an agent to use it 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?

The input schema has 1 parameter with 100% description coverage ('periods' described as 'Number of periods to analyze'), so the schema does the heavy lifting. The description adds no additional parameter details beyond implying time-based analysis, which is already suggested by the tool name. With high schema coverage, a baseline score of 3 is appropriate as the description provides minimal extra value.

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 'Analyze spending trends over time' states a general purpose with a verb ('analyze') and resource ('spending trends'), but it's vague about scope and methodology. It doesn't specify what data is analyzed (e.g., expense categories, vendors) or how trends are calculated (e.g., monthly averages, year-over-year changes), and it doesn't differentiate from sibling tools like 'expense_budget_vs_actual' or 'expense_forecast' that might involve similar analyses.

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. It doesn't mention prerequisites (e.g., existing expense data), use cases (e.g., budgeting, cost-cutting), or comparisons to siblings such as 'expense_forecast' for future projections or 'expense_summary_report' for static summaries. This leaves the agent to infer usage from the tool name alone.

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