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theYahia

@metarebalance/dadata-mcp

find_affiliated

Find companies affiliated with a person or company using INN. Scope search to founders, managers, or both.

Instructions

Find companies affiliated with a person or company by INN. Requires 'Maximum' plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
queryYesINN of a person or company to find affiliations for
scopeNoSearch scope: FOUNDERS, MANAGERS, or both
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It fails to mention any behavioral traits such as output structure, potential empty results, error handling, or performance characteristics.

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?

The description is very short (two sentences) and front-loads the purpose. However, it omits important details, so while compact, it sacrifices completeness for brevity.

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

Completeness1/5

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

For a tool with 3 parameters, no output schema, and no annotations, the description is severely lacking. It does not explain the meaning of 'affiliated', output format, result limits (beyond count), or how scope interacts with query.

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

Parameters2/5

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

Schema description coverage is 67% (query and scope have descriptions, count does not). The tool description adds no extra meaning beyond what the schema provides, and does not compensate for the missing count description.

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 specifies the verb 'Find', the resource 'companies affiliated with a person or company', and the input 'by INN', which distinguishes it from sibling tools like find_company_by_id or find_company_by_email.

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 provides a clear prerequisite ('Requires Maximum plan') but does not offer when-to-use vs alternatives or when-not-to-use, leaving the agent to infer the appropriate context from the tool's name and siblings.

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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