make_app_call_txn

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool creates a transaction but doesn't clarify if this is a read-only operation, if it requires authentication, what happens on success/failure, or any side effects (e.g., network submission). For a transaction-creation tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence with no wasted words. It's front-loaded with the core action, though it could be more structured (e.g., by including key context). The brevity is appropriate but borders on under-specification.

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 the complexity of creating an Algorand transaction (11 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what the tool returns (e.g., a transaction object ready for signing), error conditions, or how it fits into broader workflows (e.g., needing subsequent signing and submission). This leaves critical gaps for an agent.

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 description coverage is 100%, so the schema already documents all 11 parameters thoroughly. The description adds no additional meaning beyond the schema's parameter details (e.g., it doesn't explain relationships between parameters or provide usage examples). Baseline 3 is appropriate when the schema does the heavy lifting.

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 'Create an application call transaction' states the action (create) and resource (application call transaction), providing a basic purpose. However, it's vague about what an 'application call transaction' entails in the Algorand context and doesn't distinguish this tool from sibling tools like make_app_clear_txn or make_app_optin_txn, which also create specific transaction types.

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 is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., needing an Algorand account), context (e.g., interacting with smart contracts), or exclusions (e.g., when other transaction types like make_app_create_txn would be more appropriate). This leaves the agent without usage direction.

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