Inference
inference[inference] Chat inference with hallucination guard
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| messages | Yes |
inference[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?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, covering the safety profile. The description adds only the vague phrase 'hallucination guard' without explaining what the guard does, how it behaves, or any limitations, so it contributes minimal behavioral context beyond the annotations.
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 description is a single short phrase with no wasted words and is front-loaded. Its brevity is appropriate in form, though it is arguably too minimal to be useful, which is penalized in contextual completeness rather than here.
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 output schema and a single required parameter, the description should at least clarify what the tool returns, what the hallucination guard means in practice, and any usage constraints. It provides almost none of that context, leaving significant gaps for correct invocation.
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% at the top level, and the description does not mention the required 'messages' parameter or its expected structure. Although the schema includes nested role/content descriptions and an example, the description itself adds no meaning beyond what is already in the schema.
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 'chat inference' and mentions a 'hallucination guard,' which gives a basic idea of the resource. However, it is vague about what the inference actually does beyond that, and it does not differentiate this tool from siblings such as inference_stream or oracle_hallucination.
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 exclusions, and no prerequisites. The description implies it is for chat inference but leaves the agent to infer the appropriate context entirely.
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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