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

Annotations already establish this is a non-read-only, non-destructive mutation, and the description adds nothing on top of that. It does not say whether the body is a full replacement or a partial merge, what happens to omitted optional fields, or what permissions are needed.

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 short sentences with the verb+resource front-loaded and no filler. It is efficiently sized, though the second sentence merely restates the endpoint path and adds no information.

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 tool with a deep nested body object, conditional field requirements, and no output schema, the description is far too thin. It explains no update semantics, no required-field behavior, and no relationship to the other put_*strategy_reaction_llm* variants.

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?

Top-level schema coverage is 0%: the id and body parameters carry no descriptions, and the description supplies none. With nested required fields (data_webhook_id, llm_api_id, prompt) and conditional requirements (webhook_id if send_signal, chart fields if use_chart), the description fails to compensate for the coverage gap.

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?

"Update LLM reaction" names a verb and a resource, but it does nothing beyond restating the tool name and echoing the HTTP route. It gives no sense of what an LLM reaction is or which of the many strategy_reaction_llm siblings (public, reset, status) this one differs from.

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?

There is no when-to-use guidance at all. The description never distinguishes a plain update from put_strategy_reaction_llm_id_status, _public, or _reset, nor does it say an existing reaction must already exist. The agent must infer usage purely from the name.

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