configure_guardrails
Set strict RAG grounding boundaries, blocked topics, and safety fallback messages.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes | ||
| strict_mode | No | ||
| blocked_topics | No | ||
| blocked_keywords | No | ||
| fallback_message | No |
Set strict RAG grounding boundaries, blocked topics, and safety fallback messages.
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes | ||
| strict_mode | No | ||
| blocked_topics | No | ||
| blocked_keywords | No | ||
| fallback_message | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It implies mutation but does not state permissions required, whether existing guardrails are overwritten, how defaults like strict_mode=true behave, or what happens when blocked_topics/blocked_keywords are null.
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?
A single well-formed sentence with no filler, and the core action is front-loaded. Every word contributes to the stated purpose.
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?
This is a mutation/configuration tool with five parameters, no annotations, and no output schema. The description is far too sparse to tell an agent how to invoke it safely or correctly, especially regarding required bot_id, defaults, null handling, and overwrite semantics.
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%, so the description must compensate for five undocumented parameters. It references strict grounding, blocked topics, and fallback messages, but omits the required bot_id, blocked_keywords, and any format or interaction details for these parameters.
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 uses a specific verb ('Set') with a specific resource ('guardrails') and names the main configuration areas: RAG grounding boundaries, blocked topics, and fallback messages. It is clear what the tool does, though it does not explicitly distinguish itself from related configuration siblings such as update_chatbot_instructions.
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 guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The closest thing to guidance is the implied context that it configures safety behavior, but an agent must infer all usage conditions.
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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