list_products
List Signal Band products (Power BI decision tools) by line, with the question each answers, its engine and licence offer.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| line | No |
List Signal Band products (Power BI decision tools) by line, with the question each answers, its engine and licence offer.
| Name | Required | Description | Default |
|---|---|---|---|
| line | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral burden. The verb 'List' implies a safe read and the description names the fields returned, but it says nothing about ordering, pagination, or the effect of omitting the filter.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One dense but front-loaded sentence that leads with the verb and resource. Nothing is wasted, though the trailing clause listing returned fields makes it slightly crowded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema or annotations, the description reasonably conveys the shape of the result set, but it leaves the enum meaning and selection guidance unexplained for an agent trying to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the single 'line' parameter has an unexplained enum (validate/decide/futures/programs). The description only says 'by line' without defining what a line is or that omitting it returns all products, so it does not compensate for the schema gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (List) and resource (Signal Band products), and clarifies the domain ('Power BI decision tools') plus the fields returned (question, engine, licence offer). It does not, however, explicitly differentiate itself from the nearby list_engines or get_pricing siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use guidance, no prerequisites, and no mention of alternatives such as list_engines or get_engine. The agent must infer that this is a catalog-browsing tool from the verb alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.