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

With no annotations provided, the description carries the disclosure burden and does well: it reveals the tool persists a report for a team to review ('I've logged that for the team to review') and prescribes the post-call conversational behavior (acknowledge, then offer to debug). It does not state permissions, whether the report is user-visible, or what the call returns.

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 condition and the core action, then post-call behavior. Every sentence is doing work, though the parenthetical example lists plus the quoted acknowledgement make it slightly denser than needed for a single-purpose capture tool.

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?

For an 8-parameter, 3-required mutation-style tool with no annotations and no output schema, the description supplies the missing behavioral contract: when to fire, that a persistent artifact is created, and what the agent should say afterward. The remaining gap is that it never tells the agent what the tool returns or whether the report is retrievable.

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 description coverage is 100%, with enums and per-parameter guidance already documenting category, severity inference, userQuote verbatim handling, and expectedValue. The description's example phrases loosely echo the category enum but add no syntax or format detail beyond the schema, so the baseline 3 applies.

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 a specific verb and resource ('Capture their concern as a structured report') and scopes it as USER-TRIGGERED, which is a meaningful distinction in a toolset full of get_* retrieval tools. It does not, however, distinguish itself from the very similar sibling report_data_issue, which an agent choosing between the two would need.

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 concrete trigger phrases ('this number is wrong', 'doesn't match my Shopify admin', 'why is this zero?') and an explicit ordering instruction: capture BEFORE speculating about causes. That is unusually actionable. It stops short of naming when NOT to use it or pointing to the sibling report_data_issue as the alternative.

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