open_customer_inbox_conversationRefresh safe activity metadata for one conversation selected in the embedded Supovia inbox. This app-only tool reads no thread and returns no message body, preview, message id, customer detail, or internal note.
| Name | Required | Description | Default |
|---|---|---|---|
| conversationId | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| status | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by specifying that it 'reads no thread' and explicitly enumerates the data it does not return, which is behavioral context beyond the annotations. It also calls itself 'app-only', clarifying its operational scope. No contradiction with annotations.
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?
Two sentences with zero redundancy. The first sentence states the action and context; the second lists exclusions. This is front-loaded and every word earns its place, making it easy for an agent to parse quickly.
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 has only one parameter, an output schema, and rich annotations. The description covers what it does, what it does not return, and its app-only nature. It does not explain the output format, but that is handled by the output schema. It also does not mention how to obtain conversationId, but that is a common prerequisite implicit in the tool's name and context. Overall, sufficiently complete for a simple metadata-refresh tool.
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%, so the parameter conversationId has no description in the schema. The description does not explicitly explain the parameter, but its name and the tool's purpose ('for one conversation') make it clear that conversationId identifies the conversation. This adds some meaning but does not fully compensate for the lack of schema documentation, such as whether it accepts an internal ID or external reference.
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 uses a specific verb ('Refresh') and a specific resource ('safe activity metadata for one conversation'), and explicitly lists what it does not return (no thread, message body, preview, message id, customer detail, or internal note). This clearly distinguishes it from sibling tools like get_conversation and send_message, making its purpose unambiguous.
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?
The description states it is for refreshing metadata for a conversation selected in the embedded Supovia inbox, which implies the agent should use it when a conversation is already in context and only lightweight metadata is needed. It also implicitly warns against using it to retrieve message bodies or details, but does not explicitly name alternative tools or provide a when-not-to-use condition. Thus, clear context but no explicit exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct targets, but there is meaningful overlap among conversation/inbox tools: list_conversations, open_customer_inbox_conversation, show_customer_inbox, and show_support_overview all surface metadata-only conversation activity and could be confused when an agent needs a simple conversation listing or overview. get_conversation and get_unresolved_conversation_counts are more distinct but still add to the conversation-centric cluster.
Every tool follows a snake_case verb_noun pattern: get_, list_, search_, resolve_, send_, show_, and open_. The longer names like open_customer_inbox_conversation and get_unresolved_conversation_counts are still predictable compound noun phrases, so the overall naming convention is consistent.
With 14 tools, the server is well within the typical coherent range and the count matches its apparent scope: websites, conversations, documents, campaigns, and a few aggregate views. No tool feels purely decorative or like an unexplained duplicate.
The core support workflows are covered: listing and viewing conversations, resolving them, sending messages, and listing/searching/viewing documents and websites. The main gaps are the lack of create/update/delete operations and the absence of campaign detail/send tools, but the server appears intentionally designed as a safe, metadata-focused surface, so agents can still accomplish monitoring and limited action tasks.