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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds useful return-shape context (verbatim model reports, live helper counts, resolved class names), but says nothing about freshness, cost, or performance beyond the annotation set.

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?

It is a single front-loaded sentence, but dense with opaque internal vocabulary ('E26', 'helpers report', 'helpers listening now', 'classes best / default / fast') that costs the reader more than it saves. The usage clause is a separate, useful sentence, so nothing is wasted outright, but legibility suffers.

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 output schema, the description is the only source for return values, and it does sketch them (per tool, models verbatim, counts, resolved classes). However, terms like 'helpers listening now' and the E26 label are never defined, leaving the agent unsure what a count actually represents.

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?

The tool takes zero parameters, so the baseline of 4 applies — there are no inputs whose semantics could be under-specified.

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 states the resource it exposes precisely — per-tool (Claude Code, Codex) model reports, helper counts that can run each, and class-to-name resolution — which is genuinely distinct from any sibling. It lacks an explicit verb ('list'/'get') and leans on jargon, but an agent can tell what data comes back without opening the 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?

It gives a concrete when-to-use ('ask the person who should do their task') and routes the output to a specific sibling parameter ('pass the answer as allowedModels to publish_task'), which is real cross-tool routing. It stops short of stating when not to call it or naming an alternative catalogue source.

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