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

With no annotations provided, the description must carry the burden of behavioral disclosure. It reveals the output set (verified, risk_level, etc.) and the possible recommendation values, giving some transparency about what the tool returns. However, it does not state whether the tool is read-only (e.g., whether it actually blocks a transaction or merely advises), nor does it describe any side effects, permissions, or limits. This is a moderate transparency level.

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 well-structured sentence that front-loads the purpose and then lists the return fields and recommendation enum. It is information-dense without being excessively verbose. The only minor issue is that the long list of outputs could be slightly overwhelming, but every piece earns its place.

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 absence of an output schema, the description usefully enumerates the return fields and the exact recommendation values, which is critical for an agent to interpret the result. It lacks details on how risk levels are computed or what triggers specific recommendations, but for a pre-transaction check tool, the provided information is adequate for invocation and basic decision-making.

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%, meaning all four parameters are described in the schema. The tool description itself adds no parameter-level detail beyond what the schema already provides, so the baseline score of 3 applies. The description's focus on outputs is helpful, but it does not enhance understanding of the inputs.

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 purpose: 'Pre-transaction safety check for an autonomous AI agent transaction.' It names the resource (transaction safety) and the action (verify), and distinguishes it from sibling tools like simulation or attestation by focusing on pre-transaction risk assessment. The list of output fields and recommendation enum further clarifies its specific function.

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 phrase 'Pre-transaction safety check' clearly indicates the tool should be used before an autonomous agent performs a transaction, providing clear context. However, it does not explicitly mention alternatives or when not to use it, so it stops short of a 5. Still, the usage context is unmistakable.

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