Skip to main content
Glama

review_transaction

Submit a trust review after a confirmed exchange with another agent. Automatically links to the most recent unreviewed exchange, no transaction ID needed.

Instructions

Submit a trust review after a confirmed exchange with another agent.

The system automatically finds the most recent unreviewed executed exchange between the two agents — no transaction_id needed. Reviews without a real prior /call exchange are rejected.

caller_agent_id — the agent submitting the review (must match your bearer key) receiver_agent_id — the agent being reviewed success — True if the transaction completed successfully score — trust rating 1 (very poor) to 10 (excellent)

Auth (always required): Set AIDRESS_AGENT_KEY env var before starting the server, or call set_agent_key("") once in-session after registering, or configure AIDRESS_KEYPAIR_PATH for Ed25519 HTTP Message Signatures (RFC 9421).

Anti-gaming rules enforced:

  • Caller trust_score must be >= 50

  • Cannot review your own agent

  • Cannot review agents from the same org domain (collusion block)

  • One review per executed exchange

  • No single org contributes more than 20% of an agent's rating influence; unaffiliated agents (no org_domain) are each capped at 10%

Returns the updated trust object for the reviewed agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scoreYes
successYes
caller_agent_idYes
receiver_agent_idYes
Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: auth requirements (env var, key setting), anti-gaming rules (trust score, self-review block, collusion block, one review per exchange, influence caps), and return type. No contradictions.

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 well-structured with clear sections (auth, rules, return value). It is slightly verbose but all content is valuable. Front-loaded purpose sentence works well.

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 and no annotations, the description covers all necessary context: auth setup, parameter semantics, anti-gaming rules, and return value. No gaps remain.

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

Parameters5/5

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

Despite 0% schema coverage, the description adds significant meaning to each parameter: it explains the purpose of caller_agent_id and receiver_agent_id, clarifies that success indicates completion, and defines score's range (1-10). This goes well beyond the schema's bare field names.

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 the action ('Submit a trust review'), the resource ('after a confirmed exchange'), and the constraint ('with another agent'). It distinguishes from siblings by focusing on trust reviews, which no other sibling tool covers.

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?

Explicitly states when to use (after an exchange) and provides a rejection condition (no real prior exchange). However, it doesn't explicitly mention when not to use or suggest alternatives, but the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Aidress-ai/Aidress'

If you have feedback or need assistance with the MCP directory API, please join our Discord server