Skip to main content
Glama

find_best_companies

Smart lead generation: find the best construction companies matching your criteria. Perfect for finding contractors, generating leads, or market research. Args: region: Filter by region name (e.g. 'Москва'). Empty = all. category: Filter by category/subcategory. Empty = all. min_rating: Minimum rating (0-5). 0 = no filter. max_price: Maximum price per m2 in thousands RUB. 0 = no filter. min_price: Minimum price per m2 in thousands RUB. 0 = no filter. has_phone: Only companies with phone number. has_projects: Only companies with project portfolio. sort_by: Sort by: 'rating', 'price_asc', 'price_desc', 'reviews', 'projects'. limit: Max results (1-50).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
regionNo
sort_byNorating
categoryNo
has_phoneNo
max_priceNo
min_priceNo
min_ratingNo
has_projectsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4/5.0
Behavior3/5

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

No annotations exist, so the description must disclose behavior. It explains filtering and sorting but does not mention side effects, data freshness, pagination behavior (limit up to 50), return format, or error cases. The output schema exists but is not referenced. Transparency is moderate.

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 well-structured with an initial summary and a labeled 'Args' section. The summary sentence is somewhat marketing-ish ('Smart lead generation') but not overly verbose. The parameter list is clear and consistent. A bit of fluff ('Perfect for finding contractors') could be trimmed, but overall it's efficient.

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 9 parameters and no required ones, the description covers input semantics thoroughly. However, it does not explain output structure, pagination limits beyond the 'limit' parameter, or edge cases (empty results). Since an output schema exists, the description could be more complete by referencing output fields or linking to the schema.

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?

The input schema has no descriptions for any of the 9 parameters, so the description carries the full burden. It explains each parameter clearly (e.g., 'region: Filter by region name... Empty = all', 'min_rating: Minimum rating (0-5). 0 = no filter') with examples and default behaviors, adding significant value 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 the tool finds 'the best construction companies' with specific criteria, distinguishing it from sibling 'search_companies' which likely provides a more basic search. The verb 'find' and resource 'best construction companies' are specific. The use cases (lead generation, contractors, market research) reinforce purpose.

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 (lead generation, finding contractors) but does not explicitly state when not to use it or how it differs from alternatives like 'search_companies' or 'smart_match'. No exclusions or alternative suggestions are provided. It's adequate but lacks explicit guidance.

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.