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

With no annotations supplied, the description carries the disclosure burden and does well: it states who reads submissions ('read daily by the service owner'), what happens to them ('turned into a fix or an answer'), the public consequence of the credit flag (changelog credit plus a contributor mark), and a privacy warning against secrets. What it omits is the mechanics of the write itself, such as what a successful submission returns or whether anything is deduplicated.

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?

The purpose is front-loaded in the first clause, followed by the value proposition, then the exclusion, then the safety warning. Every sentence adds information and nothing is redundant, though the changelog and contributor-mark detail is slightly ornate relative to the operational basics.

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 7-parameter write tool with no annotations and no output schema, the description covers the why and the routing but not the call mechanics. It never clarifies that all parameters are optional yet at least one descriptive field is needed to be useful, nor what the caller receives on success, leaving an agent to guess about the response.

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 essentially every parameter, and the baseline of 3 applies. The description adds some meaning to the `credit` flag by stating the downstream reward, but it says nothing about how what_failed, what_missing, and what_would_improve differ or that at least one of them should be populated, which is the one genuinely non-obvious schema question.

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 specific verb and resource: 'Tell LLPRO what failed, what was missing or what would improve this service.' It is unambiguous that this is an inbound feedback channel rather than a lookup or a submission of task output, which distinguishes it from the agentrecord_* siblings. It stops short of naming any sibling explicitly, so it just misses a 5.

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?

The description gives an explicit condition for when to use it (reporting failures, gaps, or improvements), an explicit exclusion with an alternative channel ('Not for support requests that need a reply: write support@llpro.ai for those'), and a hard constraint ('Do not send secrets'). That is the full when, when-not, and alternative pattern.

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