Skip to main content
Glama

Outcome-verified watchdog for scheduled agents

Verify a job outcome now

verify_now
Read-only

Spot-verify a job's artifact now (independent fetch/hash/read-back by the watchdog). Metered check ($0.002 after trial / plan rules). 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": "verify_now"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds genuinely new context: the check is performed independently by the watchdog, and it is metered ($0.002 after trial / plan rules). Cost and independence are behaviorally relevant facts not present in structured fields. It stops short of stating what a result looks like or whether a verify can fail/retry.

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?

One dense sentence front-loads the action and mechanism, then cost, then the argument. No filler. The trailing "Args: job_id" is near-redundant with the schema but costs little.

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?

With no output schema, the description should say what a verification returns (a verdict? a hash match?) and it does not, leaving the agent unable to interpret results without calling list_verdicts. What it does say — mechanism, independence, price — covers the calling decision reasonably well for a single-param read-only tool.

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 coverage is 0% and the only parameter guidance is "Args: job_id," which merely restates the property name. No format, source, or validity constraint for job_id is added, so an agent learns nothing beyond the schema.

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: spot-verify a job's artifact, implemented as an independent fetch/hash/read-back by the watchdog. That mechanism detail distinguishes it from sibling verification-ish tools like checkpoint and list_verdicts, though it never names an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Spot-verify ... now" implies on-demand, ad-hoc verification rather than scheduled ticking, and the metered price signals it is a paid action to use sparingly. However there is no explicit when-to-use vs checkpoint, watchdog_tick, or last_verified_success, so the agent must infer the routing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources