Skip to main content
Glama

search_companies

Search Russian construction companies by category, region, and budget. Returns company name, rating, prices, website, and phone number.

Args: query: Free text search query (e.g. 'каркасные дома недорого', 'frame houses') category: Company category filter (каркасные_дома, дома_из_бруса, газобетон, кирпич, недвижимость, модульные_дома, СИП) region: Region or city name (e.g. 'Московская область', 'Санкт-Петербург', 'Краснодар') budget_max: Maximum budget in rubles. Set to 0 for no limit. limit: Number of results to return, maximum 20

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
regionNo
categoryNo
budget_maxNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It mentions returned fields and the limit parameter's max value, but does not disclose read-only nature, rate limits, or filtering behavior (e.g., whether multiple filters combine). Adequate but not thorough.

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 concise, front-loaded with the core purpose, and uses a clear Args block. Every sentence adds value, and there is no redundancy or fluff.

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?

The description covers the tool's purpose, all parameters with usage details, and mentions return fields. Since an output schema exists, return values are partly covered. It slightly lacks behavioral context like pagination or error handling, but is largely complete for a search tool.

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

Parameters5/5

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

Schema description coverage is 0%, so the description fully compensates. Each parameter (query, category, region, budget_max, limit) is explained with examples, default behavior, and constraints (e.g., 'Set to 0 for no limit'). This adds significant meaning beyond the schema.

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 'Search Russian construction companies by category, region, and budget' and lists returned fields. This distinguishes it from siblings like search_projects or company_deep_profile by specifying the resource (companies) and filtering dimensions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides parameter examples and constraints (e.g., budget_max: 0 for no limit), implying usage for broad searches. However, it does not explicitly guide when to use this tool over alternatives like find_best_companies or contractor_recommendation.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation2/5

Multiple tools have overlapping purposes: search_companies, find_best_companies, smart_match, and contractor_recommendation all find contractors; get_company, company_portfolio, and company_deep_profile all return company details; calculate_cost and project_estimator both estimate costs. This makes it difficult for an agent to reliably choose the correct tool.

Naming Consistency3/5

Tool names mix verb-first patterns (get_*, search_*, compare_*, calculate_*, export_*, find_*, request_*) with noun-first patterns (company_deep_profile, market_report, price_comparison, etc.). All names use snake_case, but the inconsistent verb/noun placement makes the set less predictable.

Tool Count3/5

24 tools falls squarely in the 16-25 'feel heavy' range. While the server covers a broad domain (companies, projects, analytics, leads, estimation), the presence of many overlapping tools suggests the count could be consolidated without losing functionality.

Completeness4/5

The toolset covers the core domain well: searching companies and projects, retrieving full details, comparing entities, estimating costs, obtaining market analytics, and managing the lead lifecycle (request_quote -> get_lead_status). Minor gaps exist (e.g., no detailed per-review text, but that is explicitly stated as unavailable), but there are no dead ends for typical workflows.