submit_antenna_model_feedback

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

With no annotations provided, the description carries the full burden. It explicitly discloses the key behavioral trait that the tool does not run or change AEDT, which is essential for an agent to know that this is a safe, non-mutating operation. It does not mention whether it writes to a database or changes job status, but the explicit non-impact on AEDT is a strong transparency signal. No contradiction with annotations exists.

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, front-loaded with the verb and resource, and contains no unnecessary words. Every part adds information: the action, the target, and the key constraint. It is an exemplar of concise, structured tool description.

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 simple tool with three parameters and an output schema, so the description need not explain return values. It captures the core purpose and the main behavioral constraint, which is sufficient for basic understanding. However, it does not mention prerequisites (e.g., an existing job) or what happens after feedback is submitted, and it does not differentiate from related feedback-driven tools. Given the low complexity, the description is nearly complete but has minor gaps.

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 0%, so the description must compensate. It only loosely refers to 'HFSS/image comparison notes', which maps to the 'feedback' and 'comparison_images' parameters, but completely omits the 'job_id' parameter. The schema itself provides only titles, no descriptions. Thus, an agent would have to guess the meaning of job_id from context, so the description is insufficient in this dimension.

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 uses a specific verb 'Record' and identifies the resource as 'the user's HFSS/image comparison notes'. It also adds a crucial scope constraint 'without running or changing AEDT', which clearly distinguishes it from sibling tools like run_antenna_modeling_job or build_hfss_project. This gives a precise, non-ambiguous purpose.

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 phrase 'without running or changing AEDT' implies that this tool is for passive feedback capture, not for triggering any execution. This provides clear context for when to use it compared to tools like regenerate_antenna_python_from_feedback, which likely act on feedback. However, it does not explicitly name alternatives or state when not to use the tool, so it falls short of a 5.

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