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FinanceGenius.AI

Get product details

get_product_details
Read-only

Get full details of a specific product by its slug.

    Args:
        product_slug: The URL-safe identifier (e.g. 'hdfc-millennia-credit-card').
                      Get slugs from search_indian_products.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_slugYes

TDQS

A4.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds that the tool retrieves 'full details' and relies on a URL-safe slug, but it does not disclose return shape, pagination, or other behavioral nuances. With annotations present, this is adequate but not rich.

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 compact and front-loaded with the core purpose. The parameter note is structured clearly and every sentence adds value, including the practical pointer to search_indian_products.

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

Completeness5/5

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

For a simple single-parameter read-only tool with no output schema, the description covers everything needed to call it: what it does, how the parameter should look, and where to find valid values. The absence of output schema is mitigated by 'full details' being sufficiently self-explanatory.

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

Parameters5/5

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

Schema description coverage is 0%, so the description fully compensates. It explains that product_slug is a URL-safe identifier, provides a concrete example, and tells the agent where to obtain valid slugs. This gives enough meaning for correct invocation.

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 states a specific verb and resource: 'Get full details of a specific product by its slug.' It clearly distinguishes this tool from search_indian_products by indicating this is the follow-up lookup on an already-identified product, not the search itself.

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 provides clear context for when to use the tool: after obtaining a slug from search_indian_products. It does not explicitly list exclusions or compare against other siblings like compare_products, but the workflow hint is enough to guide an agent.

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

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: the calculate_* tools cover different financial formulas, find_best_* tools recommend different product types, and search/get/compare form a coherent product workflow. There is no realistic ambiguity between tools despite the overlap in financial domain.

Naming Consistency5/5

Tool names consistently follow a verb-first snake_case pattern, with clear groupings like calculate_*, find_best_*, and get_*. Minor use of abbreviations like CAGR and EMI is natural and does not break the naming convention.

Tool Count5/5

12 tools is well-scoped for a personal finance assistant covering calculators, product search, product details, comparisons, recommendations, and concept explanations. Each tool earns its place without redundancy or bloat.

Completeness4/5

The tool set covers core financial calculations, product discovery, comparison, recommendations, and educational explanations, which is strong for the stated purpose. Minor gaps exist around loan/insurance product comparisons and more advanced investment planning, but agents can accomplish most typical finance workflows.

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