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ep_delegation_judgment

Measures how well a principal chooses and authorizes agents by tracking agent outcomes and signaling patterns, returning a judgment score from 0 to 1.

Instructions

Get a principal's delegation authority — how well they choose and authorize agents. High judgment principals consistently authorize well-behaved agents. Low judgment principals frequently authorize agents that fail, dispute, or abandon tasks. This signal is deliberately weak (0.15 weight per outcome): a single bad delegation should not define a principal, but a pattern of them should be legible. Returns: judgment_score (0–1), agents_authorized, good_outcome_rate, and signal counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
principal_idYesPrincipal entity ID or human identifier (e.g. ep_principal_abc or user@example.com)
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Since no annotations are provided, the description carries full burden. It discloses the return fields (judgment_score, agents_authorized, etc.) and the signal weight (0.15), which helps the agent understand the tool's behavior. It does not mention side effects or auth requirements, but as a read operation this is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise, front-loading the main purpose and then providing necessary explanatory details. A couple of sentences could be trimmed, but overall it is well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has only one parameter and no output schema, the description adequately explains the return values and their interpretation. It covers the purpose, return format, and signal weight, making it sufficiently complete for an agent to use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% coverage with a clear description of principal_id. The tool description does not add any additional semantic information about the parameter, so it meets the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Get' and the resource 'delegation authority', explaining what the tool computes and returns. However, it does not explicitly distinguish itself from sibling tools like ep_verify_delegation or ep_create_delegation, which slightly reduces clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides context about the signal's interpretation (e.g., 'deliberately weak') but does not give explicit when-to-use or when-not-to-use guidance, nor does it mention alternative tools.

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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