List Get2Great feeds
list_get2great_feedsList Get2Great's free machine-readable feeds. OpenAPI at https://get2great.com/openapi.json.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_get2great_feedsList Get2Great's free machine-readable feeds. OpenAPI at https://get2great.com/openapi.json.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and destructiveHint=false, and the description's 'List' wording is consistent with that. The description adds some context about the feeds being free and machine-readable plus an OpenAPI link, but it does not disclose response format, pagination, or rate limits. With annotations covering the safety profile, this is adequate but not enriched.
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?
The description is two short sentences with no wasted words. The core purpose is front-loaded, and the OpenAPI reference provides an optional avenue for further detail without cluttering the main description.
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?
For a simple, parameterless listing tool with read-only annotations, the description provides enough to invoke it correctly. It names the resource, notes the feeds are free and machine-readable, and gives an OpenAPI link. Since there is no output schema, a bit more detail about the response shape could help, but the OpenAPI reference partially fills that gap.
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?
The tool has zero parameters and schema coverage is 100%, so there is no parameter documentation burden. The description does not need to explain parameters, and the baseline for a zero-parameter tool is appropriately high.
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?
The description clearly states a specific verb ('List') and a distinct resource ('Get2Great's free machine-readable feeds'). It is distinguishable from the sibling magazine/management tools by resource type, though it does not explicitly differentiate itself from any sibling.
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 guidance is given about when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or any comparative context with sibling tools such as list_magazine_articles or search_magazine_articles.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.