Builders in Fintech

Get a fintech product

get_product

Read-onlyIdempotent

Full public listing for one product by slug: description, category, markets, customer type, API, pricing model, links, the company and an agent_access object (api_available, docs_url, openapi_url, sandbox_url, llms_txt_url, auth_method, mcp_url) when any is set, plus the company's lei, licences[] (with source_url and last_checked_at) and certifications[] (self-reported). Company-provided, not part of the CC BY dataset. Each result carries provided_by, last_confirmed_at and sponsored; sponsorship never changes ordering.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_product"
  }
}

Input Schema

Name	Required	Description	Default
`slug`	Yes	Product slug from its URL.

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 1, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, closed-world), and the description adds real context beyond them: the data is company-provided and outside the CC BY dataset, certifications are self-reported, agent_access fields only appear 'when any is set', and sponsorship never affects ordering. It stops short of permission/rate-limit or freshness-guarantee detail, so not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose followed by a long but purposeful field enumeration; since no output schema exists, that enumeration carries real informational weight rather than being padding. Slightly dense, but every clause maps to something an agent would otherwise not know.

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?

With no output schema, the description fully shoulders the burden of describing return contents, including the nested agent_access object, company lei/licences/certifications, and per-result provenance fields. Combined with annotations covering safety, an agent has everything needed to call 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?

Only one parameter and schema description coverage is 100%, so the schema already documents 'slug' fully. The description adds nothing about slug format or sourcing that the schema field description doesn't already provide, making the baseline 3 correct.

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?

States a precise verb+resource+scope: 'Full public listing for one product by slug'. The 'one product by slug' framing cleanly separates it from the sibling search_products, so an agent can route detail lookups here without opening either schema.

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?

Usage is only implied by the mechanics: it takes a single slug and returns everything about that product, which suggests it is the detail step after a search. The description never says when to prefer it over search_products, nor that a slug must first be obtained (that hint lives only in the schema's 'slug from its URL').

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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