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compare_personal_loans

Read-only

Search SecureLend's lender database for personal loan offers matching the user's criteria (loan amount, purpose, credit score, state). Returns available rates, terms, monthly payment estimates, fees, and eligibility indicators from participating lenders. Results may change over time and may include offers from SecureLend’s database and authorized third-party integrations when enabled. The user selects a lender and is directed to complete their application on the lender's own platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoThe applicant's state of residence (2-letter code).
purposeYesThe purpose of the loan.
loanAmountYesThe desired loan amount in USD (e.g., 25000).
creditScoreNoThe applicant's estimated credit score (300-850).
monthlyIncomeNoApplicant's gross monthly income in USD.
employmentStatusNoThe applicant's employment status.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
offersYes
summaryYes
metadataYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds that results 'may change over time' and may include third-party offers, reinforcing the open-world behavior. It also details the redirection to the lender's platform, which is a valuable behavioral trait beyond what annotations provide.

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 three sentences: first states the core function, second summarizes outputs, third adds context and process flow. It is front-loaded with the action and contains no redundant or filler text.

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?

With an output schema present and annotations covering safety, the description provides sufficient context about the search, return contents, and process flow. It does not explicitly differentiate from sibling tools like get_offer, but overall coverage is strong for an agent to invoke it correctly.

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?

Schema coverage is 100%, so all parameter descriptions exist in the schema. The description mentions the criteria in passing but does not add new meaning or dependencies beyond what the schema already provides, so the baseline of 3 is appropriate.

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

Purpose5/5

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

The description opens with 'Search SecureLend's lender database for personal loan offers', using a specific verb and resource. It explicitly names the matching criteria (loan amount, purpose, credit score, state) and clearly distinguishes from sibling tools like compare_car_loans by focusing on personal loans.

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

Usage Guidelines4/5

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

The description implies usage for comparing personal loan offers and outlines the post-search flow (user selects lender, completes application on lender's platform). It does not explicitly mention alternatives or exclusions, but the context is sufficiently clear from the name and the described process.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have clear, distinct purposes, but there are a few potentially confusing pairs. Compare_personal_banking and compare_savings_accounts overlap somewhat, and calculate_loan_payment could be mistaken for covering mortgages despite calculate_mortgage_payment existing. Overall, descriptions help resolve most ambiguity.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern throughout: compare_* for comparisons, calculate_* for calculations, display_* for forms, submit_* for submissions, and get_* for offers. All names use lowercase with underscores, creating a predictable and uniform naming scheme.

Tool Count4/5

With 22 tools, the count is on the higher side but appropriate given the broad financial marketplace domain. Each tool covers a specific product category or workflow step, so the size feels justified rather than bloated. It is slightly heavy but not excessive for the scope.

Completeness4/5

The tool surface covers comparison, calculation, lead generation, prequalification, document upload, and status tracking, forming a comprehensive marketplace workflow. Minor gaps exist, such as no tools for updating or canceling applications, but these are workarounds and the core user journey is well supported.

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