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

With no annotations supplied, the description carries the full burden and does well: it discloses that submissions are read daily by the service owner, may produce a fix or an answer, are published on the changelog with attribution, and earn a contributor mark on Agent Record. It does not state whether submissions are idempotent, whether any rate limit applies, or whether a reply ever comes back in-band, which keeps it short of a 5.

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?

Three sentences, front-loaded with the purpose before the incentive and exclusion details. The changelog/credit material is somewhat promotional but still actionable; nothing is genuinely wasted, though the second clause could be tightened.

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 a submission tool with no output schema and no annotations, the description supplies the outcome model (read daily, becomes a fix or answer) and the confidentiality constraint. The main omission is that all seven parameters are optional and the description never says at least one substantive field should be filled in, nor what a successful response contains.

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 86%, so the schema already explains tool, credit, rating, message, what_failed, what_missing, and what_would_improve. The description echoes the three 'what' fields but adds no syntax, format, or precedence guidance beyond that, so the baseline 3 is appropriate.

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 opening sentence names a concrete verb and resource ('Tell LLPRO what failed, what was missing or what would improve this service') and enumerates the exact content classes the tool accepts. It also implicitly separates this from support/email channels, so an agent can identify the tool's role without inspecting 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?

Guidance is explicit on both sides: use it for failures, gaps, and improvement ideas, but not for support requests that need a reply, which are routed to support@llpro.ai. It adds a hard constraint ('Do not send secrets'), covering the most common misuse case for a free-text submission tool.

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