list_secrets
List secret metadata for the authenticated tenant.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List secret metadata for the authenticated tenant.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It indicates a read-only list operation and specifies that it returns metadata rather than secret values, which is useful. However, it does not mention pagination, error behavior, or whether the response is a flat list or nested structure.
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 sentence that front-loads the action and the target resource. It has no wasted words and is appropriately sized for a zero-parameter read-only tool.
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 tool with no parameters and no output schema, the description is largely sufficient: an agent knows what the tool lists and the implicit auth scope. It could be more explicit about the exact shape of the returned metadata, but that is a minor gap given the tool's simplicity.
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 tool has zero parameters and the schema coverage is 100%, so there is nothing the description needs to clarify about inputs. The mention of 'authenticated tenant' correctly signals that the scope comes from the auth context, not from parameters.
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 ('List') and resource ('secret metadata') and adds a clear scope ('for the authenticated tenant'). This cleanly distinguishes it from siblings like set_secret, list_connections, and list_workflows.
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 what the tool does but gives no guidance on when to choose it over alternatives such as set_secret or list_connections. There are no explicit conditions, exclusions, or references to sibling tools.
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.
Every tool has a clearly distinct purpose: workflow lifecycle, invocation, logging, metrics, KV store, secrets, connections, and documentation. Even similar tools like get_logs vs get_invocation are well-differentiated by descriptions.
Most tools follow a consistent verb_noun pattern (create_workflow, get_workflow, list_workflows). The KV tools (kv_get, kv_set, kv_list, kv_delete) are internally consistent but deviate from the dominant verb_noun style by using a noun_verb prefix.
With 18 tools, the count is slightly above the typical 3-15 range, but the broad platform scope (workflow management, invocation, logging, metrics, KV, secrets, connections, docs) justifies each tool's existence. No tool feels redundant.
Workflows have create, read, update (via update_draft), list, and publish, but lack a delete operation. Secrets support create and list but no delete/update, and connections only have list. These lifecycle gaps create potential dead ends for agents.