News Search
news_searchSearch Google News.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| num | No | Number of results. | |
| No | Your email (for free-tier quota tracking). | ||
| query | Yes | The news query. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
news_searchSearch Google News.
| Name | Required | Description | Default |
|---|---|---|---|
| num | No | Number of results. | |
| No | Your email (for free-tier quota tracking). | ||
| query | Yes | The news query. |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Search', which gives no insight into read-only nature, rate limits, pagination, result format, or any side effects. Even though an output schema exists, the description adds zero behavioral context beyond the action itself.
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 extremely short with no fluff, which is concise, but it lacks structure and front-loading of critical information. It is a single declarative sentence that barely earns its place, falling into under-specification rather than efficient conciseness.
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?
Given the tool's simplicity and the existence of an output schema, the description still fails to cover necessary context like usage scenarios, prerequisites (e.g., API key), or relationship to siblings. It is incomplete for an agent to confidently select and invoke this tool without additional inference.
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 100%, so all three parameters (query, num, email) are documented in the schema. The description adds no additional meaning or examples for parameters, so it stays at the baseline of 3.
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 'Search Google News' clearly states a specific verb and resource, and implicitly distinguishes itself from sibling google_search (general web search) and check_license (license verification). An agent can immediately infer the tool's scope.
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 provided on when to use this tool versus the siblings. The description does not mention that news-specific queries should go here or that general queries should use google_search. There are no exclusions or alternatives mentioned.
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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