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Creed-Space

creedspace-mcp

Official
by Creed-Space

adjudicate

Applies constitutional AI policies and persona context to evaluate user requests and generate policy decisions for AI safety.

Instructions

Get a policy decision kernel for a user request based on active constitutions and persona

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoAdditional context for the decision
questionYesThe user question or request to adjudicate
persona_idNoThe persona ID for policy contextambassador
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It only states 'Get a policy decision kernel'—suggesting a read operation but not confirming side effects, authorization requirements, or computational cost. This is insufficient for a complex tool with nested parameters.

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

Conciseness5/5

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

The description is a single, concise sentence that conveys the core purpose efficiently without unnecessary words.

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

Completeness2/5

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

The tool has nested objects and no output schema, yet the description does not explain what the 'policy decision kernel' is, what the output looks like, or any prerequisites. This leaves significant gaps for an agent to understand how to invoke and interpret results.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds no extra meaning beyond the parameter names and schema descriptions (e.g., 'context' object fields are fully described in schema). No added semantic value.

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 uses a specific verb 'Get' and resource 'policy decision kernel', and mentions the basis ('active constitutions and persona'), clearly distinguishing it from sibling tools like get_constitution or get_system_prompt. However, 'kernel' is jargon and not explained, slightly reducing clarity.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., when to use adjudicate vs get_constitution or get_active_persona). The description implies it's for policy decisions but does not specify when not to use it or provide context for selection.

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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