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

With no annotations, the description must disclose behavioral traits. It only says 'Submit', implying a write operation, but does not mention whether it is idempotent, requires authentication, has side effects on other resources, or what happens after submission. No return format is described either. This is a significant gap for a tool that likely persists data.

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 a single sentence and very concise, but it is under-specified rather than efficiently structured. It is not front-loaded with the most critical information (the parameters or what 'downstream truth' means). While brevity is good, it sacrifices all informative content.

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 tool with 4 parameters, no output schema, and no annotations, the description is severely incomplete. The agent cannot determine how to construct a valid call, what constitutes a valid 'final_answer', or how the booleans relate to outcomes. The description fails to cover essential context for correct usage.

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 0%, so the description must explain parameters. It mentions none of the four parameters (request_id, final_answer, downstream_success, human_decision_accepted). The agent has no clue what 'final_answer' should contain, how 'request_id' is obtained, or what the booleans signify. The description adds zero value for parameter understanding.

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 verb ('Submit') and a purpose ('complementarity calibration'), but the object is vague ('real downstream truth'). The name suggests 'outcome' submission, but the description does not explicitly mention the outcome, request, or what 'downstream truth' means. It is more than a tautology but lacks the specificity needed to distinguish it from siblings like 'me_get_provider_tasks' or 'me_resolve'.

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 provides no guidance on when to use this tool versus any of the 34 sibling tools. It does not state conditions for use, prerequisites, or scenarios where it should be avoided. The only hint is the phrase 'for complementarity calibration', which is too niche and unexplained to guide an agent.

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