Search product information
product_searchSearch curated public OpenComment AI product facts and page summaries.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
product_searchSearch curated public OpenComment AI product facts and page summaries.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false. The description adds useful scope by saying results are 'curated public' facts and page summaries, which aligns with the closed-world annotation, but it does not cover result format, pagination, or rate limits.
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 no wasted words. It clearly presents the core action and resource 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?
For a simple one-parameter search tool with safety annotations and no output schema, the description is minimally adequate. However, it omits query semantics and sibling-tool differentiation, leaving gaps an agent may need to call it correctly.
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 single required query parameter has no description in the schema. The tool description implies a search query but does not explain syntax, expected input, or constraints beyond what the name 'query' already suggests.
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 and resource: search OpenComment AI product facts and page summaries. It is clear what the tool does, but it does not explicitly distinguish itself from sibling tools like product_overview or pricing_reference.
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 use this search tool versus alternatives such as product_overview or pricing_reference. Usage is only implied by the word 'Search,' with no conditions 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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