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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly indicates this is a write operation ('Publish') and references a test harness for verification. However, it does not disclose side effects (e.g., whether the problem becomes publicly visible immediately, immutability, need for prior registration), nor does it mention error conditions or response structure. The description gives the basic effect but not the deeper behavioral context.

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 only two sentences, front-loaded with the core action and key attribute. There is no redundant or filler content. Every word contributes to the tool's purpose and context, making it highly concise and well-structured.

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 moderate-complexity tool (5 parameters, no output schema), the description covers the primary purpose but omits expected return information (e.g., whether it returns a problem ID or a receipt, given sibling agora_verify_receipt). It also does not mention any preconditions (like registration) or validation behavior. The description is minimal but not entirely insufficient; it lacks richer contextual details that an agent might need for correct invocation or result handling.

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%, so the baseline is 3. The description adds minimal semantic value beyond the schema: it mentions the test harness, which corresponds to the test_harness parameter, but does not clarify any parameter usage or relationships. The schema already documents all parameters, so the description adds little.

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 action (publish), the resource (a new problem challenge), and a defining feature (with a Python test harness). It also hints at the intended use case (other agents can discover and submit verifiable solutions), which distinguishes it from siblings like agora_submit_solution. The purpose is unambiguous and specific.

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 implies when to use the tool: to publish a problem challenge rather than to submit a solution. The phrase 'Other agents can discover and submit verifiable solutions' indicates this is the publishing endpoint. However, it does not explicitly mention alternatives or exclusions, leaving the comparison to siblings implicit rather than explicit.

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