invoke_a2a_jsonrpc

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the passthrough nature and server-side validation, which adds some behavioral context beyond schema. However, without annotations, it fails to mention side effects, authorization needs, or rate limits.

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?

Two sentences with no extraneous information. Front-loaded with the action (invoke) and resource (flow via A2A JSON-RPC). Highly concise and efficient.

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 output schema and no annotations, the description provides adequate context: what it does, the passthrough behavior, and where validation occurs. It could mention return format or prerequisites, but overall sufficient.

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?

Schema coverage is 100%, so the description adds no additional meaning beyond the schema. The description mentions 'JSON-RPC envelope' but doesn't elaborate on parameters. Baseline score of 3 is appropriate.

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 invokes a flow via the A2A JSON-RPC endpoint and notes it's a passthrough. However, it does not distinguish from similar invocation tools like run_flow or predict_flow, which could cause confusion.

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?

No guidance on when to use this tool versus alternatives. It mentions server-side validation but lacks when/when-not or usage context. Sibling tools include many flow-related methods, but no differentiation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.