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analyze_amex_spending

Analyze Amex credit card spending from CSV files to identify vendors, detect subscriptions, and flag fraud, with output in multiple formats.

Instructions

Analyze Amex credit card spending from CSV file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
csvPathYesPath to Amex CSV file
outputPathNoOutput file path (optional)
outputFormatNoOutput format for resultssummary
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It states that the tool analyzes spending from a CSV, but does not mention whether it writes output files, overwrites existing files, returns data in-memory, or has any side effects. The optional outputPath parameter hints at file output, but the description fails to clarify behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that front-loads the tool's purpose. It contains no redundant information or fluff, making it appropriately concise and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's relative simplicity (one required parameter, two optional, no nested objects) and the well-documented schema, the description is adequate. However, the absence of an output schema means it could add more detail about what the analysis result looks like or how the output is delivered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides complete descriptions for all three parameters, including the enum for outputFormat and its default value. The description adds no additional parameter-level meaning beyond restating the overall purpose, so it does not exceed what the schema already conveys.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes Amex credit card spending from a CSV file, identifying the specific resource (Amex spending), action (analyze), and input source (CSV). It does not explicitly distinguish itself from sibling tools like spending_by_category or analyze_vendor, but the 'Amex CSV' qualifier provides some differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 does not mention alternatives such as spending_by_category, find_anomalies, or analyze_vendor, nor does it give any exclusions or prerequisites. Usage context is only implied by the tool's name and description.

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

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