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product_competitor_watchlist

Destructive

Track competitors and maintain a product watchlist by submitting an objective and optional structured data. The domain agent returns competitor insights within your tenant and company scope.

Instructions

Run the product domain agent action competitor_watchlist.

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

C2.9/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, and readOnlyHint=false, and the description does not contradict them. It adds useful context about routing under JWT/tenant/company scope, but it does not disclose what side effects may occur when running the action, so behavioral transparency is only partially improved beyond 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 core statement in the first sentence and a tidy Args section. There is minimal filler, though the routing sentence and argument descriptions could be more informative without adding bulk.

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 that an output schema exists and annotations cover basic behavioral flags, the description doesn't need to repeat return-value or destructiveness details. Still, it lacks a semantic explanation of the competitor_watchlist action and any guidance on when to invoke it, so an agent is not fully equipped to use it correctly among hundreds of siblings.

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 carry the burden, and it does provide some value: message is described as a free-text objective and inputs as an optional JSON string. However, it does not explain what structured inputs should contain for this specific action or what a good objective looks like, leaving the agent with only vague usage guidance.

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 names a specific action (`competitor_watchlist`) and says it runs through the product domain agent dispatcher, which is more than a tautology. However, it never explains what competitor_watchlist actually does, and the sibling `commerce_competitor_watchlist` isn't distinguished, so an agent must rely on the tool name to infer purpose.

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 for when to use this tool versus alternatives like `commerce_competitor_watchlist` or other product-domain actions. The description only explains routing mechanics, not the conditions or scenarios that should trigger selection.

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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