Skip to main content
Glama
theYahia

@metarebalance/dadata-mcp

suggest_company

Search Russian companies by name, INN, or OGRN to obtain legal details, address, and CEO.

Instructions

Search Russian companies by name, INN, or OGRN. Returns legal details, address, and CEO.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoLEGAL = companies, INDIVIDUAL = sole proprietors
countNo
queryYesCompany name, INN, or OGRN
statusNoFilter by company status
Behavior2/5

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

No annotations are provided, and the description does not disclose whether the tool is read-only, has side effects, or requires authentication. It only states 'Search... returns...' without clarifying safety or state changes.

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 a single sentence with no unnecessary words. It efficiently conveys the tool's core function and expected output.

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?

No output schema exists, so description must explain return values. It mentions legal details, address, and CEO but omits pagination, number of results, or error handling. The count parameter suggests pagination but is not explained in the description.

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 coverage is 75% (count parameter lacks description), but the description adds no parameter-level meaning beyond the schema. It mentions query but does not explain count, type, or status filtering.

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 states the tool searches Russian companies by name, INN, or OGRN and returns legal details, address, and CEO. It distinguishes itself from siblings like suggest_company_kz (Kazakhstan) and find_company_by_id (exact ID search) by specifying search methods and target region.

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 explicit guidance on when to use this tool versus alternatives like suggest_company_by or find_company_by_email. The description implies usage for fuzzy search but does not tell when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/theYahia/dadata-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server