Read human oversight policy
human_oversight_policyReturn Burs-IA bounded-autonomy and human-supervision policy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
human_oversight_policyReturn Burs-IA bounded-autonomy and human-supervision policy.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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 cover the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false, openWorldHint=false), so the description is not required to restate those traits. However, it adds no further behavioral context such as authentication needs, rate limits, or failure modes; it merely restates the resource.
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?
It is a single front-loaded sentence that states the return value with no filler or redundancy. Every word earns its place for a zero-parameter read tool.
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?
Given the zero-parameter schema, the output schema, and the annotations that already communicate the safe-read behavior, the description is nearly complete for calling the tool. The remaining gap is that it does not help the agent choose between this policy and the sibling outbound_gateway_policy.
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?
With zero parameters, the schema has no fields for the description to clarify, and the baseline for a parameterless tool is 4. The description appropriately does not invent parameter details.
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 specific verb ('Return') and a specific resource (the Burs-IA bounded-autonomy and human-supervision policy), so the agent knows exactly what content is produced. It does not, however, distinguish this policy read from the sibling outbound_gateway_policy, which is also a policy-return tool.
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 mention of alternatives, and no conditions or prerequisites for calling the tool. The description only states what it returns, leaving the agent to infer the appropriate context.
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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