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

No annotations provided, so description bears full burden. It only mentions the tool is free and no payment needed, but omits behavioral traits like whether it updates existing feedback, permissions required, or side effects on other 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?

Two concise sentences, front-loaded with key information. 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?

For a simple feedback tool with 3 parameters and no output schema, description covers the essential usage context (after signals, free, rating with pros/cons). Could mention where the feedback is stored or how it affects future signals, but overall adequate.

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%. Description adds meaning by stating score range (1-10) and the existence of pros/cons, but does not explain format or constraints for those string fields. Adds some value beyond schema.

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?

Description clearly states the tool is for leaving a rating (score 1-10 plus pros/cons) after acting on signals. This distinguishes it from sibling tools like evaluate_symbol, pitch, etc., which are analysis/action tools, making this a feedback follow-up.

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?

Specifies when to use: 'after acting on our signals'. Provides clear context, but does not mention alternatives or exclusions. Still, the timing guidance is explicit and helpful.

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