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

With no annotations, the description carries the full burden and largely discharges it: it declares read-only behavior, no side effects, no parameters, and the return format and size (text/plain, ~3000 tokens). It does not mention auth requirements or rate limits, but for a static text fetch that is a minor omission.

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-loads what the tool fetches, then routes to the alternative, then the behavioral facts. Every sentence adds distinct value with no redundancy, despite the definition being fairly dense.

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?

No output schema exists, and the description compensates by stating the media type and approximate token size and flagging the embedded agent prompt. For a parameterless static-text tool, nothing an agent needs to call it correctly is missing.

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?

There are zero parameters, so the baseline is 4; the description reinforces this with an explicit 'No parameters' statement. No further parameter meaning is possible or needed.

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 (get the Designesy /llms-full.txt) and enumerates its contents (ingest protocol, discovery endpoints, packages, rules, anti-patterns, agent prompt). It explicitly distinguishes itself from the sibling designesy_llms_txt, so an agent can select correctly without opening either schema.

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 when-to-use ('comprehensive onboarding when the short /llms.txt is not enough') and when-NOT-to-use ('for a quick orientation, use designesy_llms_txt first'), with a quantified cost comparison (~500 vs ~3000 tokens). This is exactly the routing guidance an agent needs.

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