ps_confidence_get
Retrieve confidence thresholds for AI agent actions to enable pre-execution validation and policy enforcement.
Instructions
Get all confidence thresholds.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve confidence thresholds for AI agent actions to enable pre-execution validation and policy enforcement.
Get all confidence thresholds.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Get all confidence thresholds,' implying a read operation, but doesn't specify if it's safe, requires authentication, has rate limits, or what the output format might be. This is inadequate for a tool with zero annotation coverage.
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, efficient sentence: 'Get all confidence thresholds.' It's front-loaded with the core action and resource, with no wasted words, making it highly concise and well-structured.
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 tool has no parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what 'confidence thresholds' are, how the data is returned, or any behavioral traits, leaving significant gaps for the agent to understand the tool's full context.
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 tool has 0 parameters, and the schema description coverage is 100%, so there's no need for parameter details in the description. The description doesn't add parameter semantics, but with no parameters, a baseline score of 4 is appropriate as it doesn't need to compensate for gaps.
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 all confidence thresholds' clearly states the verb ('Get') and resource ('confidence thresholds'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'ps_confidence_set' or 'ps_confidence_bulk_set', which likely modify thresholds rather than retrieve them, so it misses explicit sibling distinction.
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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any context, prerequisites, or exclusions, such as whether it's for read-only access or how it compares to other 'ps_confidence_' tools. This leaves the agent without usage direction.
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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