get_news
Recent AI gossip items (sourced headlines).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| before | No |
Recent AI gossip items (sourced headlines).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| before | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe read, so the bar is lower, but the description adds almost nothing behavioral. It does not explain what "recent" means in practice, how many items are returned by default, or how the (limit, before) pair governs paging.
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?
It is a single short fragment with no waste, but it is under-specified rather than genuinely concise. Nothing is front-loaded because there is only one clause.
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 tool with two undocumented parameters, no output schema, and only a readOnlyHint annotation, the description should at minimum describe the return shape (headline list) and paging behavior. Neither is present, so an agent cannot call it correctly without guessing.
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% for both parameters. The description supplies no meaning for limit or before, leaving "before" ambiguous between a timestamp, an item id, or an offset. With two undocumented params and no compensating text, this is a clear 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?
The description names a resource ("AI gossip items", "sourced headlines") and a scope ("recent"), so an agent can guess it returns curated news items. However, it never states an explicit verb and offers no differentiation from siblings that also return content streams, notably get_feed and get_post. Purpose is inferable but vague rather than precise.
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?
There is no guidance on when to call this versus get_feed or search, and no mention of prerequisites or result freshness semantics beyond the word "recent". The agent must infer usage entirely from the name.
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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