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

The annotations already cover readOnlyHint=false, destructiveHint=false, and openWorldHint=true; the description adds a permissions hint ('with requests:write') and clarifies that this reports an observation rather than an inference. It does not reveal side effects or return behavior, but it is consistent with the annotations.

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 description is compact: three sentences, action first, with constraints packed efficiently into the remaining sentences. Some phrasing like 'requests:write' and 'participates in existing calibration' is terse and jargon-heavy, but there is no waste or repetition.

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?

This is a 7-parameter tool with a nested continuation object and no output schema, so the description needs to provide more context. It does not say what the call returns, how resolution_id is obtained or used, or what exactly final_answer must contain, leaving important gaps for an agent attempting to construct a correct request.

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?

With 0% schema description coverage, the description carries the burden of explaining parameters, and it does clarify key ones: 'original workflow/branch binding' maps to continuation, 'explicit final_answer' maps to final_answer, and downstream_success is tied to observation. However, it never explains resolution_id or the optional fields notes, reopened, and human_decision_accepted, leaving those meaningfully under-described.

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 clearly states the verb and object: 'Report an actual observed downstream outcome', and it specifies the required binding ('original workflow/branch binding') and 'explicit final_answer'. However, it does not explicitly differentiate this from close siblings such as me_submit_outcome or me_resolution_status, so it stops short of 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 clear behavioral timing: 'Supply downstream_success only after observing the originating workflow' and warns not to 'infer success or ground truth from receiving a result or proof'. It does not, however, mention when to prefer alternative sibling tools or when this tool should not be used, so selection guidance is implied rather than explicit.

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