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

Annotations only cover read-only safety; the description adds substantial context beyond them: the 'truncated' flag meaning the stored log was too large, 'skipped' counting unreadable entries, the levels-filter edge case where an out-of-enum level is returned unfiltered, and an explicit untrusted-data / prompt-injection warning about verbatim page-controlled text.

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?

Dense but front-loaded: purpose first, then filtering/pagination behavior, then the safety warning last. Most sentences earn their place, though the newest-first restatement of the 'order' default mildly duplicates the schema.

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 carries the burden well by explaining the returned flags (truncated, skipped), default ordering, and the level-filter semantics — enough for an agent to interpret results and call the tool correctly.

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?

Schema coverage is 100%, so the baseline is 3, but the description genuinely adds semantics beyond it: the cheap-scan pattern for include_stacks, the authoritative-vs-approximate relationship to get_feedback, and the subtle levels filtering behavior that the schema does not convey.

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 — 'List the browser console entries (errors, warnings, logs) captured when one Ybug feedback item was reported' — with scope ('one feedback item') and pagination. An agent can immediately distinguish this from sibling get_feedback_network_requests and get_feedback without opening any 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 real usage guidance: pass include_stacks: false to scan a long log cheaply and re-request the relevant page with stacks, plus the note that get_feedback console counts are approximate while these entries are authoritative. It does not name a sibling alternative explicitly (e.g. when to prefer get_feedback_network_requests), so it stops short of a 5.

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