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Outcome-verified watchdog for scheduled agents

Register a scheduled job

register_job

Register a scheduled job with an outcome contract (file / URL / record, present + non-empty + fresh, optional hash/marker — or a chain contract whose stages' artifacts are the next stage's required input). Args: job_id, contract, stall_budget_s?, due_in_s?, alert via account webhook.

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>",
      "contract": "<contract>"
    },
    "name": "register_job"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYes
contractYes
due_in_sNo
stall_budget_sNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false and destructiveHint=false, so the safety profile is known; the description adds genuinely new behavior: alerts are delivered via the account webhook (no per-job alert config) and contracts are evaluated for presence, non-emptiness, and freshness with optional hash/marker. It does not disclose what happens on re-registering an existing job_id, whether registration replaces prior state, or what a successful registration yields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with no filler, but it is extremely dense and jargon-heavy, and the trailing 'Args:' list mostly restates schema data rather than adding meaning. The optionality markers do add a small amount of value over the bare schema.

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?

This is a complex tool — a 4-parameter registration with a nested, entirely undocumented contract object and no output schema — yet the description never says what a successful registration produces, how the registered job relates to watchdog_tick/verify_now, or what failure modes exist. The behavioral surface an agent needs to call this correctly is only partially covered.

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 0% and 'contract' is an untyped nested object, so the prose carries the burden; it does explain contract shapes (file/URL/record, present + non-empty + fresh, optional hash/marker, or a chain where stage artifacts feed the next stage) and marks stall_budget_s and due_in_s as optional. However, stall_budget_s, due_in_s, and job_id receive no meaning beyond their names and the implied seconds unit, leaving half the parameters unexplained.

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 and resource ('Register a scheduled job') and immediately qualifies it with the outcome-contract concept, which distinguishes it from the run-oriented siblings (start_run, complete_run, checkpoint). The core purpose is clear, though the dense parenthetical makes the reader work to extract it.

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 statement of when to register a job versus calling start_run, checkpoint, or verify_now, and no prerequisites (e.g. must a run exist first, is registration idempotent per job_id). The only implied usage is 'scheduled job', which the agent must infer.

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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