get_strategy_reaction_llm
Get all LLM reactions. GET /api/v2/strategy/reaction/llm
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get all LLM reactions. GET /api/v2/strategy/reaction/llm
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds nothing behavioral beyond that — no note on whether results are scoped to the caller, whether they are paginated, or how large the response may be. The API route text adds no behavioral insight.
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, front-loaded with the action and free of filler. The second sentence is only the raw HTTP route, which is of limited value to an agent but costs almost nothing.
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?
Annotations cover the safety profile and there are no parameters or output schema to explain, so the burden is light. Still, the description omits result scope (own vs. public reactions), pagination behavior, and any differentiation from _total and _id siblings, which an agent listing reactions would need.
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 tool takes zero parameters and the schema is trivially complete (100% coverage), so there is nothing for the description to disambiguate. Baseline of 4 for a no-parameter tool 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?
The description states a verb and resource ("Get all LLM reactions"), so the basic action is identifiable. However, it does not clarify scope against close siblings such as get_strategy_reaction_llm_id, get_strategy_reaction_llm_total, get_strategy_reaction_llm_folder, or the public variants (get_public_llm_reaction, list_all_public_llm_reaction), leaving "all" ambiguous.
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 statement of when to use this tool versus alternatives, no prerequisites, and no routing guidance. The agent must infer from the name alone that this is the unfiltered list endpoint and that _total / _id / _folder siblings serve different needs.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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