search_parse_intent
Parse a search query into filters for the signed-in user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural-language query. | |
| action | No | action |
Parse a search query into filters for the signed-in user.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural-language query. | |
| action | No | action |
Changes observed during successful MCP inspections.
Input schema / propertiesAdded value: +{
+ "action": {
+ "description": "action",
+ "type": "string"
+ },
+ "query": {
+ "description": "Natural-language query.",
+ "type": "string"
+ }
+}Input schema / requiredAdded value: +[
+ "query"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It indicates the result is scoped to the signed-in user, but does not disclose what filters are returned, whether the operation has side effects, or any other behavioral details.
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 a single front-loaded sentence with zero wasted words. It states the core action and scope immediately.
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?
The tool is simple, but there is no output schema, so the description should explain what the parsed filters look like or how they are consumed. Without that, an agent knows what the tool does but not what to expect from the result.
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 the schema already documents both parameters. The description adds no further meaning for 'query' or 'action', and the action field's schema description is unhelpfully just 'action'. Baseline 3 applies when the schema does the heavy lifting.
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 states a specific verb ('Parse'), resource ('search query'), and result ('into filters'), and adds scope ('for the signed-in user'). It is clear on its own, but it does not differentiate itself from sibling search tools such as search_query_router, search_smart, or search_embed.
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 explicit guidance on when to use this tool versus alternatives like search_smart or search_query_router. The description implies a search-pipeline role but provides no conditions, prerequisites, or exclusions.
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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