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

With no annotations provided, the description carries the full burden and does disclose the key traits: read-only, no side effects, no parameters accepted, and the exact JSON response shape. It stops short of things like rate limits or pagination/caching behavior, but for a static catalog listing the safety and output profile is well covered.

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 purpose, then usage, then exclusions, safety, and return shape. Each sentence adds distinct information with no restatement of the name or filler.

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, so the description compensates by enumerating the response fields (package_count, packages[], standing_rules[], machine_exports[]). Combined with the sibling routing and safety disclosure, nothing needed to call this tool 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?

Zero parameters, so the baseline is 4; the description confirms 'No parameters: accepts empty input,' which removes any ambiguity about whether an empty call is valid.

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+resource ('List the 23 published Designesy packages') and enumerates the returned fields (versions, URLs, statuses), which distinguishes it cleanly from the many scoring/report siblings and from designesy_contract.

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 ('discover what Designesy publishes before fetching a specific contract') and an explicit when-NOT-to-use with the named alternative ('if you already know which package you need, skip this and call designesy_contract directly'). This is textbook routing guidance.

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