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Get Composite Trust Score

get_agent_trust
Read-onlyIdempotent

Single-call composite trust score (0-100) + classification (verified / provisional / unverified / low_trust) for delegation decisions. Combines confidence_tier, evidence tier, ERC-8004 verified identity, and risk flags. Mirror of GET /api/agent/{handle}/trust.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYesAgent handle slug.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
handleNo
factorsNoconfidence_by_category, tier, risk_flags, surfaces.
trust_scoreNo0-100 composite score.
classificationNo
delegation_hintNo
score_breakdownNo
classification_thresholdsNo

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover read-only/idempotent safety, and the description adds meaningful behavioral context by listing the inputs to the score and noting the endpoint mirror. No contradictions with annotations.

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?

Two sentences, front-loaded with the core purpose and output, then the composition detail. No wasted words or redundant information.

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's simplicity, rich annotations, and presence of an output schema, the description sufficiently covers function and composition. It lacks only explicit usage alternatives, which are not critical for this straightforward read-only tool.

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 covers 100% of the single parameter (handle) with a clear description. The text adds no extra parameter guidance beyond that, so it meets the baseline for high schema coverage.

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?

Description clearly states the tool returns a composite trust score (0-100) with classification, and specifically names the constituent data sources (confidence_tier, evidence tier, ERC-8004, risk flags). This distinguishes it from sibling tools like get_agent_details or verify_counterparty.

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?

Provides context ('for delegation decisions') and implies a single-call alternative to multiple lookups, but does not explicitly name alternative tools or state when not to use it. No exclusions are given, making it usable but not strongly differentiated.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool serves a clearly distinct purpose: comparison, discovery, details, history, trust, rankings, ecosystem summaries, methodology, movers, categories, search, and verification. There is no meaningful overlap that could cause an agent to select the wrong tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., compare_agents, find_agents, get_agent_trust, verify_counterparty). The pattern is uniform and predictable across the entire set.

Tool Count5/5

14 tools is within the ideal 3-15 range and each tool maps to a distinct query type for the AgentCrush domain. The scope feels well-covered without unnecessary bloat.

Completeness4/5

The surface covers discovery, detail, history, trust, comparison, ranking, and ecosystem-level analytics. The only notable gap is a lack of a direct 'list all agents' tool; the full ranked list is provided via external URL rather than a first-class tool, but this is a minor limitation given find_agents and search_agents cover discovery.