get_public_llm_reaction
Get public llm reaction
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Get public llm reaction
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered structurally. The description adds nothing beyond that – no return shape, no scope, no side behaviors – so it contributes no behavioral value over the structured fields.
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 text is very short, but this is under-specification rather than genuine conciseness. It is a bare phrase with no front-loaded scope, qualifier, or actionable content.
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, no annotation detail, and an undocumented parameter, the definition leaves the agent without what it needs to call the tool correctly. Given the dense, similarly-named sibling set, the description is far too thin to be complete.
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?
There is one required parameter 'id' with 0% schema description coverage, and the description says nothing about it. It is unclear whether this id refers to a reaction, a session, a strategy, or a user, so the description fails to compensate for the schema 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?
The description 'Get public llm reaction' is essentially a restatement of the tool name, adding no specific verb nuance or scope. It does not distinguish this from the many siblings such as list_all_public_llm_reaction, get_public_code_reaction, or get_public_llm_session, leaving the agent unable to tell what 'reaction' means here.
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, no prerequisites, and no mention of any alternative tool. An agent cannot infer whether this fetches a single reaction, a reaction set, or when to prefer list_all_public_llm_reaction instead.
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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