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

The description adds helpful context by defining the target entity (the user's team) and the nature of the source (publisher programs). This defines the scope of the clone operation but doesn't detail specific constraints or implementation behavior beyond the general concept.

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 highly efficient, using two short sentences to define the action and the user's specific intent without any unnecessary padding.

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 low-complexity tool with basic annotations, the description is largely complete. It tells the agent what the tool does and why it would be chosen in a conversational context.

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?

With 0% schema description coverage, the description is minimally helpful. It confirms that the operation targets 'programs' rather than just generic objects, but the schema already defines the parameter type as an ID array.

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 identifies the action (Clones), the source (stock programs), and the destination (user's team), distinguishing it from simple creation or retrieval methods like create_program or list_team_programs.

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?

It provides clear intent guidance by stating when the tool should be used: when the user wants to add publisher programs to their library, which gives strong context for choosing it over alternative creation tools.

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