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Outcome-verified watchdog for scheduled agents

Start a job run

start_run

Start a run for a job. Args: job_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": {
      "job_id": "<job_id>"
    },
    "name": "start_run"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already tell the agent this is a non-read-only, non-destructive mutation, so the description need not repeat that. What it fails to add is anything about what starting a run does — whether it can fail if a run is already in progress, whether it is idempotent, what state it returns, or whether it is asynchronous.

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?

Two short sentences with no wasted wording and the action front-loaded. Brevity here costs little structurally, though the "Args:" fragment reads like leftover docstring boilerplate rather than deliberate design.

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

Completeness2/5

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

No output schema exists, so the description should explain what a started run returns (run handle, status, identifier) and how it relates to complete_run and checkpoint. With one required parameter and zero schema documentation, the definition leaves the agent under-informed about the outcome of the call.

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% for the single parameter, so the description must compensate and does not: "Args: job_id." merely names the field without saying where the identifier comes from or its format (e.g., value from register_job or list_verdicts).

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

Purpose3/5

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

The description states a verb and resource ("Start a run for a job"), but it largely restates the title "Start a job run" and does not distinguish it from siblings such as verify_now or watchdog_tick, which also plausibly initiate work. An agent can infer the basic action but not what makes this the right choice.

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?

There is no guidance on when to call this versus checkpoints, verify_now, or watchdog_tick, and no prerequisites are mentioned (e.g., whether the job must be registered first). The only usage-like content is the bare parameter list.

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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