eudr_submit_agent_feedback

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 states the tool 'submits' feedback, implying a write/mutation, but it does not reveal whether the submission is persisted, whether there is any confirmation or asynchronous processing, or whether it triggers notifications to humans. For a mutation tool with zero annotation coverage, this is a notable gap.

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, front-loaded sentence that states the core purpose without any fluff. It lists the key content categories and the overarching goal ('continuously evolve the EUDR.agent engine'), which is concise and efficiently communicates the tool's role. No wasted words.

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?

Given the tool's simplicity (a feedback submission with 100% schema coverage and no output schema), the description is mostly sufficient. However, it omits any mention of expected response behavior (e.g., whether a success ID or status is returned) or any prerequisites (e.g., authentication). Since there are no annotations to fill this gap, the description could be slightly more complete to fully guide an agent.

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?

The schema provides 100% coverage of all six parameters, each with a clear description (e.g., agent_id, title, content, feedback_type with enum). The tool description adds no additional meaning beyond listing the types of proposals. Since the schema already documents the parameters thoroughly, the baseline 3 is appropriate; the description doesn't need to add more but also doesn't enrich the semantics.

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 tool's purpose: 'Allows an autonomous AI agent to submit an evolution proposal, feature request, edge-case report, or dataset addition'. It names the specific verb (submit) and resource (evolution proposals etc.), which is clear and distinguishes it from the operational siblings like eudr_verify_plot or eudr_check_deforestation. It doesn't explicitly name a sibling, so not a 5, but the intent is unmistakable.

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 this tool—whenever an agent wants to propose an improvement or report an issue—but it doesn't explicitly state when not to use it or point to alternatives. Sibling tools are all operational (verification, payments, alerts), so the context is clear, but there's no explicit exclusion or alternative routing. This is adequate but not exhaustive.

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