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gtm_market_entry_analysis

Evaluate market entry opportunities by submitting a free-text objective and optional structured inputs to the domain agent for analysis.

Instructions

Run the gtm domain agent action market_entry_analysis.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It briefly mentions routing under JWT/tenant/company scope, but does not indicate whether the action has side effects, is read-only, or requires special permissions. Important behavioral context is missing.

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 extremely concise: one line for the action, one line for routing context, and a clear args list. Every sentence serves a purpose, and the structure is front-loaded with the core function.

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

Completeness3/5

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

Given the tool's simplicity (two parameters, output schema exists), the description covers the basic invocation and authorization. However, it omits what the market_entry_analysis action does and what the output represents. While the output schema could fill some gaps, the description alone is moderately complete for a domain-agent dispatcher.

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 0%, so the description must compensate. It defines the two parameters: 'message' as a free-text objective and 'inputs' as an optional JSON string. This adds some meaning beyond the schema, but lacks details like expected format, examples, or constraints. It is adequate for simple parameters but not comprehensive.

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

Purpose3/5

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

The description states it runs the 'market_entry_analysis' action, but does not explain what this action does or how it differs from sibling GTM tools like gtm_go_to_market_plan or gtm_competitive_launch_response. The purpose is clear only in that it invokes a named action, but the action's function is left undefined.

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. The description does not specify the type of objectives suitable for market_entry_analysis or mention any prerequisites or exclusions.

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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