inference
[inference] Chat inference with hallucination guard
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| messages | Yes |
[inference] Chat inference with hallucination guard
| Name | Required | Description | Default |
|---|---|---|---|
| messages | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, yet 'hallucination guard' is left unexplained — no detail on what the guard does, whether it filters or flags, auth needs, or limits. Only a hint of behavior is conveyed.
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?
One terse line that is under-specified rather than efficient; it omits the context needed to invoke the tool and reads more like a tag than a usable description.
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 no annotations, no output schema, and an undocumented top-level parameter, the description is far too thin. It neither explains the hallucination-guard behavior nor the expected response, leaving core agent questions unanswered.
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 single required 'messages' parameter has no description in the schema (coverage 0%), and the tool description adds nothing about its structure, ordering, or required roles. The nested enum and example help somewhat, but the description contributes no parameter meaning.
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 names the resource (chat inference) and gestures at a distinguishing feature (hallucination guard), so the general purpose is discernible. However the verb is weak and it does not clearly separate itself from the nearby sibling inference_stream, leaving the agent to infer the difference.
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, when not to, or which alternative (e.g. inference_stream, rag_augment, oracle_hallucination) to prefer. The agent gets no routing signal at all.
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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