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AgentTrust

by raditotev

get_agent_profile

Look up an agent's public profile to evaluate trustworthiness before transacting. Returns registration date, capabilities, trust level, interaction count, and optionally full detail with authentication.

Instructions

Retrieve an agent's public profile.

Returns registration date, capabilities, trust summary, and interaction count. Authentication is optional — unauthenticated calls get a summary view, authenticated calls get full detail including AgentAuth metadata and the complete score breakdown.

Use this to evaluate a potential counterparty before transacting.

Args: agent_id: UUID string of the agent to look up. access_token: Optional AgentAuth bearer token for full detail view.

Returns: agent_id, display_name, registered_at, capabilities, trust_level, scores (summary or full), interaction_count, agentauth_linked, and status. Returns {"error": "not_found", ...} if the agent does not exist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYes
access_tokenNo
Behavior4/5

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

No annotations are provided, so the disclosure of optional authentication yielding summary vs. full detail is valuable. It covers return fields and error case, though does not mention read-only nature or rate limits.

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 front-loaded with purpose, then details authentication, return fields, and error response in a well-organized, efficient block with no superfluous words.

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

Completeness5/5

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

Given no output schema, the description lists all return fields and a plausible error case, fully covering what an agent needs for a data retrieval tool.

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?

With 0% schema coverage, the description adds meaning: agent_id is a UUID, access_token is optional and changes the response detail. This compensates well, though no format constraints are given.

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

Purpose5/5

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

The description clearly states 'Retrieve an agent's public profile' with a specific verb and resource, and distinguishes from sibling tools by noting the use case for evaluating a counterparty before transacting.

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

Usage Guidelines4/5

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

It provides a clear use case ('evaluate a potential counterparty before transacting'), but does not explicitly state when not to use or name alternative tools for other needs like trust breakdown.

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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