a2a_card
A2A Agent Card. Skills, JSON-RPC endpoint, auth.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
A2A Agent Card. Skills, JSON-RPC endpoint, auth.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full responsibility for behavioral disclosure. It names the card content but does not say whether this is a read-only operation, what is returned, whether it makes network calls, or any side effects.
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 very short and every fragment adds something about the card contents. It is front-loaded and contains no filler, though the fragment style is slightly terse and could be improved with a full sentence.
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?
With no output schema and no annotations, the description should explain what an agent receives or how the card is used. It only lists contents and gives no completion, return-shape, or behavioral context, so an agent may be uncertain what invoking the tool produces.
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 input schema is empty, so there are no parameter semantics for the description to clarify. Per the baseline for zero-parameter tools, this dimension is adequately handled.
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 says 'A2A Agent Card', which largely restates the tool name, and lists card contents (Skills, JSON-RPC endpoint, auth) without a verb or action. It does not clearly state what the tool does, such as retrieving or serving the card, and does not distinguish it from sibling discovery tools.
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?
There is no guidance on when to use this tool versus alternatives like discovery, list_agents, or x402_discover. No context, exclusions, or alternatives are provided.
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.
Several tools cluster around the same action: checkout_link and get_offer both return Stripe checkout URLs, list_offers/list_rack/list_systems/search_catalog overlap as catalog listings, and run_rack/constellation_run/swarm_run all trigger credit-spending cycles. The floor_* family is clear, but too many near-duplicate listing and run endpoints create real misselection risk.
Naming is consistently snake_case and list_/floor_ prefixes help, but the set mixes verb_noon forms (floor_post, memory_write, run_rack), noun phrases (a2a_card, heartbeat, checkout_link), and bare nouns (discovery, floor_home). Still readable overall, but there is no single predictable naming pattern.
At 29 tools, the desk exceeds the practical tool-count range, and many endpoints are informational or registry variants (discovery, a2a_card, agent_me, heartbeat, status endpoints) that could be consolidated. Even though the platform is broad, the set would be more coherent around 15-20 tools.
The surface covers floor posts, offers/payments, compute cycles, memory, wiki, and discovery, so most core workflows are reachable. However, there are noticeable gaps: no delete/edit for floor posts, no memory delete, no agent claim/unregister after register_agent, and no product lifecycle tools. Agents can work around some gaps, but the domain is not fully closed.