describe_agent
Fleet-standard self-description: capabilities, inputs, outputs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Fleet-standard self-description: capabilities, inputs, outputs.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It transparently states that the tool returns capabilities, inputs, and outputs. For a simple read-only self-description, this is adequate and does not require more behavioral disclosure.
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 redundancy. Every word adds value, and it is efficiently structured for quick comprehension.
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?
Given zero parameters and the presence of an output schema, the description fully covers the tool's purpose. It tells the agent exactly what the tool provides, and the output schema will detail the return format.
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?
There are zero parameters, so the baseline is 4. The description does not need to add parameter-level detail, and it meaningfully explains the tool's purpose beyond the empty schema.
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 clearly states it is a self-description tool that outputs capabilities, inputs, and outputs. It uses specific verbs and resources, and the hyphenated 'Fleet-standard' helps distinguish it from sibling tools like assess_compliance and scan_regulations.
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 implies usage for introspection but does not explicitly state when to use this tool versus alternatives. No exclusions or when-not-to-use guidance is provided, leaving the agent to infer context.
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.
Each tool has a clearly distinct purpose: scanning regulations, monitoring changes, assessing compliance, and self-description. No overlap or ambiguity.
All tools follow a consistent verb_noun pattern in snake_case (e.g., assess_compliance, monitor_changes). No deviations.
With 4 tools, the set is well-scoped for the server's purpose of regulatory monitoring. It covers essential functions without being over or under.
The set covers core workflow (scan, monitor, assess) but lacks tools for detailed regulation retrieval, compliance history, or alert configuration, leaving noticeable gaps.