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visa_recommend

Determine the appropriate UAE visa type by analyzing your employment status, income, and profile details. Get tailored recommendations for founders, employees, freelancers, and more.

Instructions

Recommend a UAE visa type for a given founder/employee profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ageNoAge in years (used for retirement visa).
profileYesOne of: founder, salaried_employee, freelancer, remote_worker, investor, real_estate_investor, specialized_talent, spouse_or_dependent, retiree, tourist.
has_uae_employerNoTrue if there is a UAE-registered employer.
annual_income_aedNoAnnual income in AED for freelancer profiles.
duration_years_minNoOptional minimum residency duration.
monthly_salary_aedNoMonthly basic salary in AED, if relevant.
has_uae_trade_licenseNoTrue if the user already holds a UAE trade license.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden but only states the high-level action. No behavioral details (e.g., how inputs affect recommendations, deterministic nature, error handling) are disclosed.

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?

A single sentence directly states the purpose with no extraneous words; ideal conciseness.

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?

The description is minimal but covers the basic purpose. With an output schema present, the lack of detail on return values is partially mitigated, but given the tool has 7 parameters, more context on usage scenarios would improve completeness.

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 baseline is 3. The description adds no additional meaning beyond what the schema already provides for parameters like profile or annual_income_aed.

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 uses a specific verb ('Recommend') and identifies the resource ('UAE visa type') and target user ('founder/employee profile'), clearly distinguishing this from sibling tools like visa_details or list_visa_types.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., golden_visa_check, visa_details), nor are prerequisites or exclusion criteria mentioned.

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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