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parse_credit_report

Extract key credit metrics like FICO scores, payment history, and derogatories from personal and business credit reports to support financial analysis and decision-making.

Instructions

Parse personal and business credit reports already on file. Extracts FICO scores, Paydex, utilization, payment history, derogatories, and public records from credit data pulled during the application process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, description carries full burden. It successfully establishes data source constraints ('already on file', 'pulled during application') and read-only implications of 'parse'/'extracts', but omits safety confirmations, rate limits, or caching behavior that would fully compensate for missing annotations.

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?

Two efficiently structured sentences with no redundancy. First sentence establishes operation and scope; second details specific extractions. Every word earns its place.

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

Completeness3/5

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

Lists extracted fields which partially substitutes for missing output schema, but doesn't describe return structure, data formats, or error handling. Adequate for a zero-parameter tool but lacks completeness regarding output contract.

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

Parameters4/5

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

Input schema has zero parameters (baseline 4). The description correctly implies no inputs are needed while conveying that reports must already exist in the system, effectively documenting the implicit prerequisite without contradicting the empty schema.

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?

Clearly states the tool parses existing credit reports and specifies exact data points extracted (FICO, Paydex, utilization, etc.). Distinguishes scope by mentioning 'already on file' and 'pulled during application process', though it doesn't explicitly differentiate from sibling assess_credit_position.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides implicit usage constraint through 'already on file', indicating prerequisite data must exist. However, lacks explicit when-to-use guidance versus siblings (e.g., when to parse raw data vs. assess credit position) and doesn't mention failure modes if no reports exist.

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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