Search Autocomplete
search_autocompleteAutocomplete suggestions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
search_autocompleteAutocomplete suggestions.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / examplesAdded value: +[
+ {
+ "query": "tax"
+ },
+ {
+ "query": "unemployment ben"
+ }
+]Output schema / (root)Previous value: -nullNew value: +{
+ "description": "Autocomplete suggestions from GOV.UK autocomplete API",
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds no behavioral context beyond these, such as response format, rate limits, or side effects. With no additional value, the score is low.
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 (3 words) but under-informative; it sacrifices substance for brevity. Every sentence should add value, but here the single sentence barely repeats the tool name.
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?
Despite having an output schema, the description omits context about usage, such as expected input format, whether results are limited, or how autocomplete differs from search. The tool is simple, but the description barely covers its purpose.
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 sole parameter 'query' is only typed as string. The description does not explain what the query represents (e.g., a partial search term) or any constraints, failing to compensate for the lacking schema detail.
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 'Autocomplete suggestions' vaguely indicates the tool's function but lacks specificity about what is being autocompleted (e.g., search queries, entities). It distinguishes from siblings like 'search' only by naming the feature, offering minimal clarity.
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 on when to use this tool versus alternatives like 'search' or 'search_within'. The description does not provide context, exclusions, or prerequisites, leaving the agent without decision support.
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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