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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), and the description adds genuinely useful behavioral context — that the caller must fill in the template itself and must not show it to the user before running check_agent. It stops short of describing template format or size.

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?

Front-loaded with the trigger scenario followed by the return value and the ordered next steps. It is slightly dense and runs several clauses together in the first sentence, but every sentence carries actionable information.

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?

With no parameters, no output schema, and annotations carrying the safety profile, the description supplies everything an agent needs: when to call it, what it returns, and the mandatory follow-up sequence. No meaningful gap remains.

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?

Zero parameters, so there is nothing for the description to compensate for; baseline 4 applies. The description correctly implies the tool takes no input and the content is derived from the conversation.

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?

States a specific verb and resource ('Returns the official single-file agent template and its rules') and clearly distinguishes itself from siblings by naming check_agent and use_agent_here as the downstream steps. An agent knows exactly what this call produces.

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?

Gives explicit trigger conditions (building an AI agent/assistant/bot from an idea, repetitive task, process description, or meeting transcript) with concrete examples, plus an explicit ordered workflow: fill in the template, then check_agent, then use_agent_here. Nothing is left to inference.

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