ru_research
Research-пакет: кириллический поиск + top-страницы в Markdown одним платежом. $0.02 USDC
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| max_pages | No |
Research-пакет: кириллический поиск + top-страницы в Markdown одним платежом. $0.02 USDC
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| max_pages | No |
Changes observed during successful MCP inspections.
Input schema / properties / argsRemoved value: -{
- "additionalProperties": true,
- "title": "Args",
- "type": "object"
-}Input schema / properties / extraRemoved value: -{
- "additionalProperties": true,
- "title": "Extra",
- "type": "object"
-}Input schema / properties / limitAdded value: +{
+ "default": 5,
+ "title": "Limit",
+ "type": "integer"
+}Input schema / properties / max_pagesAdded value: +{
+ "default": 3,
+ "title": "Max Pages",
+ "type": "integer"
+}Input schema / properties / queryAdded value: +{
+ "title": "Query",
+ "type": "string"
+}Input schema / requiredPrevious value: -[
- "args",
- "extra"
-]New value: +[
+ "query"
+]Input schema / titlePrevious value: -"wrapped_handlerArguments"New value: +"ru_researchArguments"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.02 USDC) and the bundled output format (top pages in Markdown), which is useful behavioral context beyond the schema. However, with no annotations, it leaves out auth requirements, failure/refund behavior, rate limits, and whether the operation is read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence that front-loads the tool's purpose and value proposition. Every phrase earns its place, though the lack of parameter or usage details limits structural completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and only 0% schema description coverage, this description is too thin to support correct invocation. It covers cost and high-level output but omits parameter behavior, return structure, and selection criteria; an agent is left with significant ambiguity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate, but it only vaguely implies query and top pages. The 'limit' parameter is entirely unexplained, and 'max_pages' is not explicitly tied to the 'top-страницы' phrase. An agent has to guess parameter meanings.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description identifies a clear package: Cyrillic search plus top pages in Markdown in a single paid operation. It names the resource and deliverable, though it doesn't explicitly contrast with sibling tools like ru_search, ru_page, or ru_research_deep.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies a bundled research use case, but it provides no explicit guidance about when to choose this tool over ru_search, ru_page, or ru_research_deep. No exclusions or alternative selection conditions are given.
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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