get_agent_info
Returns the A2A agent card with skills, capabilities, payment methods, and contact info for Jono Tho'ra / Archangel Agency.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns the A2A agent card with skills, capabilities, payment methods, and contact info for Jono Tho'ra / Archangel Agency.
| 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 of behavioral disclosure. It clearly states the output contents (skills, capabilities, payment methods, contact info) and implies a read-only retrieval operation. It does not mention potential limitations or errors, but for a straightforward getter, it is reasonably transparent.
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 that conveys the essential purpose without any unnecessary words. Every element—the verb, the resource, and the specific entity—adds value, making it concise and well-structured.
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 provides a fairly complete overview by listing the categories of information included in the returned agent card. However, it does not specify the response format (e.g., JSON) or include any caveats, so it stops short of full completeness.
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, so the description cannot add parameter details. According to the rubric, a baseline of 4 applies when there are no parameters, and the description correctly focuses on what the tool returns rather than missing parameter semantics.
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 the tool's function: returning the A2A agent card for a specific entity (Jono Tho'ra / Archangel Agency). It enumerates the card's contents (skills, capabilities, payment methods, contact info), making it distinct from sibling tools that likely handle contexts, services, or language briefings.
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 the tool is used to retrieve agent information for the named entity, but it does not explicitly state when to prefer this over sibling tools or provide exclusions. The context is clear enough for a simple getter, but no direct guidance on alternatives is given.
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 retrieves a distinct type of information: agent card, context documents, service catalog, and research briefing. No overlap in purpose, and the descriptions clearly differentiate the content domains.
All tool names follow the exact same get_<noun> pattern, making the naming perfectly consistent and predictable.
With 4 tools, the server is tightly scoped for its informational purpose. Each tool covers a core aspect of the agency, and there are no redundant or extraneous tools.
The server covers the main informational needs about the agency, its services, context framework, and underlying language research. A minor gap is the lack of an interaction or order tool, but for an informational MCP the surface is largely complete.