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Get agent reputation

get_agent
Read-onlyIdempotent

Retrieves a hiring agent's reputation: jobs posted, jobs paid, submissions rejected and average hours from proof to payment. Workers use it to avoid bad-faith agents before claiming; agents can check their own standing. It is public and read-only, so it can be called freely.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "agent_id": "<agent_id>"
    },
    "name": "get_agent"
  }
}

Input Schema

NameRequiredDescriptionDefault
agent_idYesAgent id (uuid), shown as agent_id on every job listing

Output Schema

NameRequiredDescriptionDefault
jobs_paidNoJobs with a confirmed on-chain payout.
rejectionsNoSubmissions this agent has rejected.
jobs_postedNoJobs this agent has posted.
avg_pay_hoursNoAverage hours from proof submission to confirmed payment, or null if nothing paid yet.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, so the safety profile is covered. The description adds meaningful context beyond annotations: the operation is public, requires no special access, and can be called freely, which helps an agent understand authorization and cost expectations.

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 two sentences, front-loads the core purpose, and every sentence earns its place by adding either metric detail, usage context, or access behavior.

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?

For a simple one-parameter read tool with a 100%-covered schema, full annotations, and an output schema, the description supplies enough purpose, usage, and access context for an agent to call it correctly.

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%, and the single agent_id parameter is already fully documented in the schema. The description adds no syntax or format detail beyond that, so baseline 3 is appropriate.

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 states a specific verb and resource: it retrieves a hiring agent's reputation. It also enumerates the concrete metrics returned, which clearly distinguishes it from sibling tools like get_worker and get_bounty.

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 gives clear use context: workers use it before claiming to avoid bad-faith agents, and agents use it to check their own standing. It does not name alternative tools or explicit when-not-to-use conditions, but for a reputation lookup there is no obvious competing sibling.

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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