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moltrust_rate

Submit 1-5 star trust ratings between AI agents using DIDs. Build verifiable on-chain reputation scores to establish agent credibility and transparent trust networks.

Instructions

Rate another AI agent (1-5 stars).

Submit a trust rating from one agent to another.

Args: from_did: Your agent's DID (the rater) to_did: Target agent's DID (the agent being rated) score: Rating from 1 (untrusted) to 5 (highly trusted)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
from_didYes
to_didYes
scoreYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Lacking annotations, the description only adds the semantic meaning of the score range (1=untrusted, 5=highly trusted) but omits side effects, persistence, or authentication requirements.

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?

Extremely concise and well-structured with purpose front-loaded, followed immediately by parameter definitions without redundancy.

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

Completeness3/5

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

Minimum viable coverage given the simple schema; while output schema exists (covering returns), the description lacks behavioral context (mutability, costs) that would aid agent decision-making.

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

Parameters4/5

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

Compensates effectively for 0% schema description coverage by clearly defining all three parameters (from_did, to_did, score) and their purposes in the Args section.

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?

Clearly states the specific action (submitting a 1-5 star trust rating between agents) with distinct verb and resource, though could better differentiate from sibling endorsement tools.

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?

Provides no explicit guidance on when to use this versus alternatives like mt_endorse_agent or moltrust_reputation, nor when not to use it.

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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