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export_search_csv

Export search results as CSV text (UTF-8 with BOM, Excel-friendly).

entity: 'companies' or 'projects' query: free-text search in name/description category, region: filter fields budget_max: for companies, cap on min_project_price limit: 1..2000 rows (default 500)

Returns CSV text ready to save as .csv and open in Excel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
entityNocompanies
regionNo
categoryNo
budget_maxNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses UTF-8 BOM, Excel-friendly, limit range 1..2000, and return format (CSV text). It doesn't mention authentication needs or side effects, but since export is read-only, this is acceptable.

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: one-line purpose, then bullet points for parameters. Every sentence adds value—no filler. Front-loaded with the main action.

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

Completeness5/5

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

Given 6 parameters (all explained), no required params, and an output schema (though not shown, description mentions CSV text return), the description is complete for the tool's complexity. Sibling tools suggest this is the only CSV export option, so no missing context.

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 coverage is 0%, so description must compensate fully. It does: each parameter is explained (entity: 'companies' or 'projects', query: free-text, category/region: filters, budget_max: cap for companies, limit: 1..2000 with default 500). This adds significant meaning beyond the schema's type/default information.

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 starts with a specific verb 'Export' and resource 'search results as CSV text'. It clearly distinguishes from sibling search tools (search_companies, search_projects) by focusing on CSV output. No ambiguity.

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 explanations (entity, query, category, region, budget_max, limit) and the overall purpose (export CSV). It implies when to use (need CSV export) but doesn't explicitly exclude scenarios (e.g., 'if you need filtered browsing, use search_companies instead'). Still, guidance is clear enough.

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.