explain_preset

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

With no annotations, the description carries the burden. It clearly states this is a descriptive, non-destructive operation by using 'Describe'. It lists what the output covers, but does not mention error handling or behavior for invalid preset names.

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?

Single sentence with no filler. Front-loaded with purpose and itemized aspects. Every word adds value.

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 simplicity of the tool (one parameter, descriptive output) and presence of an output schema, the description adequately covers the tool's function. However, it could mention that the preset must exist or reference list_presets for discoverability.

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 0%, so the description must clarify the parameter. It states 'named preset', indicating the 'name' parameter refers to a preset identifier, but it does not specify expected format (e.g., exact match) or relationship to other tools.

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 verb 'Describe' and resource 'named preset' is clear. It lists specific aspects of a preset (exclude names count, exclude patterns, etc.), which distinguishes it from siblings like 'list_presets' that list available presets without explaining their effects.

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 implies use when understanding a specific preset's details, but it does not explicitly state when to use this tool versus alternatives like 'list_presets' or 'generate_pyobfus_config'. No exclusions or prerequisites are mentioned.

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