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ecidk

Research Insights MCP Server

by ecidk

suggest_research_questions

Analyze data gaps and generate follow-up research questions to validate findings and guide next steps.

Instructions

AI suggests follow-up questions based on data gaps

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
current_findingsYes
research_goalYes
target_audienceNoenterprise
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions AI involvement but does not disclose whether the operation is read-only, any side effects, or permission requirements.

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 a single short sentence, which is concise. However, it could be expanded to include more detail without losing conciseness.

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?

With three parameters and no output schema, the description is incomplete. It does not explain input format, how questions are generated, or what the return value looks like.

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

Parameters1/5

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

The description adds no meaning to any of the three parameters. Schema description coverage is 0%, and the description does not explain what current_findings, research_goal, or target_audience represent.

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 the tool suggests follow-up questions based on data gaps, which is a specific verb and resource. This distinguishes it from sibling tools that identify gaps or generate briefs.

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 usage guidance is provided. The description does not indicate when to use this tool instead of alternatives like identify_knowledge_gaps or generate_research_brief.

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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