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gtm_market_entry_analysis

Destructive

Analyze market entry opportunities by running a domain-agent action with a free-text objective and optional structured inputs. Use it to assess target markets, risks, and strategic fit for informed go-to-market decisions.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

The annotations flag destructiveHint=true, yet the description does not disclose any side effects, what the action modifies, or what happens when invoked. The routing/scope note adds little behavioral context beyond the annotations.

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 short and front-loaded with the action. The second sentence about routing and scope is somewhat generic but not bloated, so overall it is concise.

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 domain action with an output schema, the description provides almost no context about expected inputs, intended outcomes, or side effects. It is not complete enough for an agent to know when or how to invoke it confidently.

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

Parameters2/5

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

The schema has zero description coverage, so the description must compensate. It only says message is 'Free-text objective' and inputs is 'Optional JSON string of structured inputs', which is minimal and does not explain what content, format, or constraints apply to either parameter.

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 the verb 'Run' and the resource 'gtm domain agent action market_entry_analysis', but does not explain what a market entry analysis actually does. The name provides a weak clue, but the purpose remains vague for an agent selecting among many domain actions.

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 given on when to use this tool versus alternatives. The description only mentions generic routing through a dispatcher, not the conditions or scenarios that should trigger this action.

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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