decode_layers

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

With no annotations provided, the description carries the full behavioral disclosure burden. It effectively discloses that the tool chains operations, shows every intermediate result, defaults to a single base64_decode, and stops at the first failure while identifying the failing step. This is strong context, though it does not cover output format or edge cases like empty input.

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 two tight sentences that front-load the core concept and then add behavior details. Every clause adds value: operation list, intermediate result visibility, default chain, and failure behavior. There is no filler or repetition of schema content.

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 two-parameter tool with no output schema and no annotations, the description is nearly complete: it explains the operation chain, the default, and the failure mode. It does not specify the exact shape of the output or the format of failure messages, and an example would improve usability, but an agent already has enough context to invoke it correctly.

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 50%: the ops parameter is described in the schema, but input is not. The description adds useful meaning for ops by stating the default chain and failure behavior, but it only loosely refers to input as 'a layered payload' and provides no additional format, constraints, or examples for that parameter. It partially compensates but does not fully close the coverage gap.

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 uses a specific verb-resource pair ('Peel a layered payload') and names the exact operation set, making the tool's scope concrete. It implicitly distinguishes itself from siblings like decode_jwt by focusing on layered payloads and listing eight specific encoding/decoding operations rather than token-specific decoding.

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 gives clear usage context: use this when you need to peel a layered payload and inspect intermediate results. It also explains the default behavior when no ops are supplied. It does not explicitly mention when not to use it or name alternative tools, so it misses the top score.

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