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P-Suraj

GrowthPilot

by P-Suraj

gp_research_company

Run deep web research on a specific company using Tavily search API to gather detailed business intelligence.

Instructions

Runs deep web research on a specific company using Tavily search API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesThe target Company details
Behavior2/5

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

No annotations provided, so the description must carry the full burden. It only mentions using Tavily API but doesn't disclose whether the tool is read-only, if it has rate limits, or what behavioral side effects exist. The term 'deep web research' is vague.

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?

Extremely concise single sentence with no redundant information. Every word is necessary and front-loaded.

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?

The tool has a nested object parameter and no output schema, but the description does not explain what the tool returns or how to interpret results. Missing behavioral context like whether the research is synchronous or asynchronous.

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 coverage is 100% for the outer parameter, but the nested object fields lack descriptions. The description adds no additional meaning beyond the schema, which already documents the company object with its required fields. Baseline 3 applies due to high coverage.

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 tool runs deep web research on a specific company using Tavily. It specifies the verb and resource, but doesn't explicitly differentiate from siblings like gp_discover_companies which also involve company research.

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 on when to use this tool vs alternatives like gp_discover_companies or gp_run_pipeline. No context on prerequisites or when not to use it.

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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