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theYahia

@metarebalance/dadata-mcp

find_company_by_email

Look up a company by its corporate email or domain. Provide an email or domain to receive company data.

Instructions

Find a company by its corporate email address or domain. Paid: 7 RUB/req.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesCorporate email or domain, e.g. 'info@sberbank.ru' or 'sberbank.ru'
Behavior3/5

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

No annotations provided, so the description carries full burden. It discloses the cost (paid: 7 RUB/req), which is a behavioral trait. However, it does not mention rate limits, authentication, or error handling. For a simple lookup, this is minimally adequate.

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?

Single sentence with no filler. Efficiently conveys the essential information: purpose, input format, and cost.

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 tool's simplicity (one parameter, no output schema, no annotations), the description covers the core aspects. It could mention what data is returned (e.g., company name or ID), but the basic functionality is clear.

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 explains the 'query' parameter well. The description adds nothing beyond the schema except the pricing context, which is not parameter-specific. Baseline 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?

Description clearly states the verb ('Find'), resource ('company'), and method ('by its corporate email address or domain'). It distinguishes itself from siblings like find_company_by_id and suggest_company by specifying the input type.

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?

The description implies when to use (when you have a corporate email or domain), but does not explicitly mention when not to use or suggest alternatives like suggest_company for fuzzy searches. Guidance is implicit.

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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