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gtm_competitive_launch_response

Destructive

Generate a go-to-market response to a competitor's product launch. Route your objective and optional structured inputs through the domain agent to produce an actionable counter-strategy.

Instructions

Run the gtm domain agent action competitive_launch_response.

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
Behavior3/5

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

Annotations already carry destructiveHint=true, idempotentHint=false, and readOnlyHint=false, so the safety profile is available without being repeated. The description adds useful context about execution under JWT, tenant, and company scope, but it does not disclose what side effects the action may cause or what might be affected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and organized with an Args section, but the opening sentence duplicates the tool name and the routing sentence explains infrastructure rather than domain semantics. It has no wasted words, yet its brevity comes at the cost of substance.

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 destructive domain-agent action with a vague generic name, the description does not explain what the action does, what makes it a competitive launch response, or when to choose it over the many related GTM tools. The output schema covers return values, but the invocation judgment is left almost entirely to the tool name.

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?

With schema description coverage at 0%, the description carries the burden of explaining parameters. It does add basic meaning: `message` is a free-text objective and `inputs` is an optional JSON string. However, it does not clarify what structured inputs are expected, what an objective should contain, or how the two interact.

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

Purpose2/5

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

The description's first sentence merely restates the tool name, 'Run the gtm domain agent action `competitive_launch_response`', without explaining what a competitive launch response actually accomplishes. The only additional context is the routing mechanism, not the domain behavior, so an agent cannot distinguish this from other gtm_* 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?

The description gives no guidance on when to use this tool or when to prefer a sibling such as gtm_launch_coordination, gtm_launch_readiness, gtm_go_to_market_plan, or gtm_chat. The routing/scoping sentence explains mechanism, not selection criteria.

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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