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get_agent

One agent and its reviews (done, skipped or failed, and why). Same as GET /v1/agents/{agent_id}.

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
api_keyNo
agent_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden; it does disclose that reviews with pass/skip/fail outcomes and reasons are bundled into the response, which is genuine behavioral context. However, it says nothing about read-only semantics, what happens when the agent_id does not exist, or whether api_key is required versus optional.

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 short sentences with no filler; the primary payload (one agent plus its reviews) is front-loaded before the API-equivalence note. Nothing could be removed without losing information.

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?

An output schema exists, so return values need not be restated, and the description sensibly highlights the reviews component. Gaps remain around authentication (the undocumented api_key param) and failure behavior, which matter for a tool with no annotations at all.

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

Parameters2/5

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

Schema description coverage is 0% across two parameters, so the description must compensate and largely does not. It implies agent_id via the REST path template but adds no format or sourcing guidance, and the api_key parameter is never mentioned anywhere.

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?

States a specific verb+resource (fetch one agent) and clarifies that the agent's review outcomes are included, which distinguishes it from a bare metadata fetch. It does not explicitly contrast with sibling tools such as list_agents or get_run, so differentiation is left partly to inference.

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?

The description says what you get but never states when to call this versus list_agents or another detail endpoint, nor any prerequisite such as needing a valid agent_id from a prior listing. The only orientation is an equivalence note to a REST route, which assumes API familiarity.

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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