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machinemates-ai

Gemini Research MCP Server

research_deep

Read-only

Investigate any topic thoroughly using deep research with optional file search and MCP tools. Get grounded web results and customizable report formats.

Instructions

Run the default Deep Research agent with optional File Search and MCP tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesResearch question or topic to investigate thoroughly
mcp_serversNoOptional remote MCP server configs for Deep Research. Each item may include name, url, headers, and allowed_tools.
format_instructionsNoOptional report format (e.g., 'executive briefing', 'comparison table')
file_search_store_namesNoOptional: Gemini File Search store names to search your own data alongside web

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare 'readOnlyHint: true' and 'openWorldHint: true', so the agent knows the tool is safe and accesses external data. The description adds that optional 'File Search and MCP tools' can be used, but does not disclose other behavioral traits (e.g., response format, length limits, result structure).

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 extremely concise—one sentence with no fluff. However, it lacks structure (e.g., bullet points or sections) that could improve readability for an agent scanning quickly.

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

Completeness2/5

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

For a complex tool with 4 parameters, an output schema, and sibling tools, the description is too minimal. It does not explain what the Deep Research agent does, how it operates, or what the output contains, leaving many agent questions unanswered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so param meaning is already clear from the schema. The description adds modest context by linking 'File Search' and 'MCP tools' to the respective parameters, but does not significantly enhance understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Run' and the resource 'default Deep Research agent', and mentions optional capabilities (File Search and MCP tools). However, it does not explicitly differentiate this tool from sibling tools like 'research_web', which likely targets a narrower scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., 'research_web' or 'resume_research'). There are no instructions on prerequisites or implied context.

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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