get_account_conversation_metrics
Retrieve account-level conversation metrics, including total, open, closed, and pending conversation counts.
Instructions
Account Conversation Metrics
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve account-level conversation metrics, including total, open, closed, and pending conversation counts.
Account Conversation Metrics
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It fails to state whether the tool is read-only, what data it accesses, what metrics are included, or any constraints. The agent cannot infer behavior from this minimal description.
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 noun phrase with no verbs. While short, it is under-specified and fails to convey actionable information. Conciseness should not come at the cost of clarity.
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?
There is no output schema, so the description should explain what the tool returns. It does not. The tool's name suggests metrics, but without details, an agent cannot determine if it is appropriate or what to expect.
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?
The input schema has no parameters, so schema coverage is 100% (empty). The baseline for 0 params is 4, but the description adds negligible meaning beyond the schema. It hints at metrics but does not explain what metrics, how they are aggregated, or what scope (e.g., account-wide vs. conversation-specific). This is insufficient for an agent to understand the tool's purpose.
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 is 'Account Conversation Metrics', which is merely a restatement of the tool name. It lacks any verb indicating what the tool does (e.g., retrieves, fetches, gets). This is a tautology and provides no clarity on the action performed.
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 gives no guidance on when to use this tool versus the numerous sibling tools that also deal with metrics or reporting (e.g., get_account_reporting_events, list_all_conversation_statistics, get_agent_conversation_metrics). There is no mention of context or alternative tools.
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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