Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

industry_research_generate_research_action

Generate a structured 8-section market landscape brief using real-time web research. Covers market overview, key players, segments, trends, and personalized implications for your business.

Instructions

Generates a structured 8-section market landscape brief using real-time web research (Perplexity Sonar Pro) and structured extraction (GPT-5 Mini). Sections: Market Overview, Key Players, Segments, Recent Developments, Buyer Dynamics, Trends & Outlook, Competitive Dynamics, and personalized implications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
industryYesThe industry or market to research (e.g. 'Fintech', 'E-commerce', 'Healthcare SaaS').
geographyNoOptional geographic focus (e.g. 'US', 'Europe', 'Southeast Asia').
seller_productNoOptional: enables personalized 'Implications for Your Business' section.
seller_icpNoOptional: enables ICP-market alignment in implications.
seller_websiteNo
seller_competitorsNo
output_variable_nameYesindustry_research
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions real-time web research but does not disclose that the result is stored via output_variable_name, nor any side effects or required permissions.

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 with four sentences, front-loads the purpose, and includes necessary details without redundancy. Every sentence adds value.

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 tool with 7 parameters and no output schema or annotations, the description lacks details on output delivery, return format, and prerequisites. It is not fully adequate for correct invocation.

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 57% (low). The description adds context by listing sections and mentioning personalized implications tied to seller_product/seller_icp, but does not cover seller_website or seller_competitors.

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 it generates a structured 8-section market landscape brief using specific tools and lists the sections. It distinguishes from sibling tools like competitive brief or company research by focusing on 'market landscape'.

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?

The description implies usage for broad market research but does not explicitly state when to use or not use this tool versus alternatives. No exclusions or alternative references are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/OnStartups/agentai-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server