Skip to main content
Glama
theYahia

@metarebalance/dadata-mcp

suggest_address

Autocomplete Russian addresses from partial input. Returns postal code, FIAS ID, and coordinates, with optional region and granularity filters.

Instructions

Autocomplete Russian addresses. Returns suggestions with postal code, FIAS ID, and coordinates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of suggestions (1-20)
queryYesPartial address in any format
languageNoResponse languageru
to_boundNoMaximum granularity level
locationsNoFilter by region/city KLADR/FIAS IDs, e.g. [{"region_fias_id":"..."}]
from_boundNoMinimum granularity level
Behavior2/5

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

No annotations provided, so description carries burden. It does not disclose if the tool performs network calls, has rate limits, or any side effects. The read-only nature is implied but not stated.

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?

Extremely concise: two sentences with no redundancy. First sentence gives purpose, second adds output details. Front-loaded effectively.

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

Completeness2/5

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

With 6 parameters and no output schema, the description is too minimal. It does not explain parameter interplay (e.g., locations, bounds) or provide usage patterns, leaving the agent to infer from schema alone.

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 coverage is 100%, so baseline is 3. The description adds return field info but does not explain parameter usage or constraints beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it autocompletes Russian addresses and specifies return fields (postal code, FIAS ID, coordinates). It is distinct from sibling tools like suggest_company or geolocate_address, but could be more explicit about its scope.

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 guidance on when to use this tool versus siblings like clean_address or geolocate_address. The description does not mention prerequisites, typical use cases, or situations to avoid.

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