SecureLend Market

compare_student_loans

Read-only

Search SecureLend's lender database for student loan offers matching the user's criteria (loan amount, degree type, credit score, enrollment status). Returns available rates, terms, deferment options, 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

Name	Required	Description
`state`	No	The student's state of residence (2-letter code).
`degreeType`	Yes	The type of degree the loan is for.
`loanAmount`	Yes	The total amount needed for the student loan in USD.
`creditScore`	No	The student's estimated credit score (300-850).
`coSignerCreditScore`	No	The co-signer's estimated credit score (300-850), if applicable.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`offers`	Yes
`summary`	Yes
`metadata`	Yes

TDQS

A4.2/5.0

Behavior4/5

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

The description adds valuable behavioral context beyond the annotations: results may change over time, may include third-party integrations, and the user is redirected to the lender's own platform. This aligns with readOnlyHint=true and openWorldHint=true without contradiction.

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, each earning its place: purpose, return contents, and important caveats. It is front-loaded with the core action and remains concise with no fluff.

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 output schema exists and annotations cover safety, the description sufficiently explains the search flow, return contents, and post-search behavior. Minor gaps: it does not explicitly note optional parameters, but overall it is complete enough for an AI agent.

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 description coverage is 100%, so the schema already documents all five parameters. The description adds little extra meaning and even mentions 'enrollment status,' which is not a parameter in the schema, creating a minor inconsistency.

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 clearly states the tool searches SecureLend's lender database for student loan offers, using specific criteria (loan amount, degree type, credit score, enrollment status). It distinguishes itself from sibling tools like compare_personal_loans or compare_car_loans by explicitly focusing on student 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 makes it clear that this tool is for comparing student loan offers, and the user is directed to complete the application on the lender's platform. It does not explicitly name alternatives or state exclusions, but the context is strong enough for an agent to infer when to use it.

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

All SecureLend Market tools Inspect

Try in Browser

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources

Need Help?