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Glama

search_projects

Search house building projects by area, floors, material, and price. Returns project specifications, price, direct link, and company contacts.

Args: area_min: Minimum house area in square meters. Set to 0 for no limit. area_max: Maximum house area in square meters. Set to 0 for no limit. floors: Number of floors/stories. Set to 0 for any. material: Building material filter (каркас/frame, брус/timber, газобетон/aerated_concrete, кирпич/brick, СИП/SIP) budget_max: Maximum price in rubles. Set to 0 for no limit. region: Filter by company region or city name query: Free text search in project name and description limit: Number of results to return, maximum 20

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
floorsNo
regionNo
area_maxNo
area_minNo
materialNo
budget_maxNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.9/5.0
Behavior2/5

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

No annotations are present, so the description carries full burden. It does not disclose behavior beyond parameter details, such as rate limits, pagination, error handling, or read-only nature. For a search tool this is acceptable but incomplete.

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 and well-structured: a clear purpose sentence, return types, then parameter explanations. Every sentence adds value with no redundancy.

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 output schema existence, the description covers return fields sufficiently. It mentions limit maximum (20) but lacks pagination details. For typical search tool usage, this is adequate, though a note on result ordering or empty results would improve completeness.

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%, but the description fully compensates by explaining each parameter's meaning, defaults, and value constraints (e.g., 'Set to 0 for no limit', material options). This adds crucial 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 it searches house building projects with specific filters (area, floors, material, price) and lists return fields (specs, price, link, contacts). This distinguishes it from siblings like search_companies or find_best_companies.

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 (searching projects by specific criteria) but provides no explicit guidance on when to use alternatives or when not to use this tool. With many sibling tools, this is a gap.

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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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.