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MCP Market Russia

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses the output encoding (UTF-8 with BOM), Excel compatibility, row limit range/default, and entity-specific budget_max behavior. It stops short of discussing error behavior or data scoping, but for an export tool the disclosed details are substantial.

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 compact and front-loaded with the core purpose, followed by a concise parameter legend and a one-line output note. Every sentence earns its place with no redundancy or filler.

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 six parameters, no annotations, and an output schema, the description covers parameter semantics, output encoding, and intent sufficiently. It lacks only an explicit tie to sibling search tools or edge-case behavior, but is otherwise complete enough for correct invocation.

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 every parameter: entity allowed values, query semantics, filter fields, budget_max scope, and limit range/default. This adds meaning well beyond the bare 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 opens with a specific verb and resource: 'Export search results as CSV text (UTF-8 with BOM, Excel-friendly).' This clearly states what the tool does, differentiates it from sibling search/viewing tools, and indicates the output format.

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?

Usage is implied through the word 'Export' and the mention of being ready to open in Excel, but there is no explicit guidance on when to choose this tool over sibling search or analysis tools, nor any exclusions or prerequisites stated.

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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