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

Annotations already cover the safety profile (read-only, idempotent, non-destructive, closed-world), and the description adds meaningful behavioral context beyond them: Pine is read statically and never run, findings are graded observation/inference/unknown with ids, and inferences must never be presented as fact. This is genuine added value, though return-format detail is somewhat entangled with what a schema would normally carry.

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?

Front-loads the core purpose well, but the long run-on sentence packing the dossier contents (route, findings, checklist items, ceiling) is dense and could be broken into a short structured list. Every element is informative, yet the presentation is heavier than it needs to be.

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?

With no output schema, the description carries the full burden of explaining what comes back, and it does so in detail (route, graded findings with ids, checklist states, ceiling). Only minor gaps remain around edge cases and how ambiguous input is handled, but the tool is well-covered overall.

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?

Only one parameter with 100% schema description coverage, so the schema already documents it fully. The description restates the accepted content types ('the rule, the Pine source or the transcript'), which matches rather than extends the schema's own wording. Baseline 3 is appropriate.

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?

Names a specific verb (reverse-engineer) and resource (what the trader POSTED), and enumerates the accepted inputs: a rule in words, a pasted Pine script, or a chat transcript. It clearly distinguishes itself from siblings by routing charts to the image tool, so an agent can tell what this tool is for without opening the schema.

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?

States the input conditions for use (rule / Pine source / transcript) and gives a concrete routing rule: 'For an attached chart use the image tool first.' It stops short of naming the alternative analysis tools or saying when NOT to use it, but the context is clear and actionable.

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