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wait_for_verification

Await DeployAngel's verification verdict on a deployment to confirm if it cleared, failed, or is not yet verified, with in-progress updates on timeout.

Instructions

Wait for a deployment's verification. until=initial returns at the 15-minute initial check ("no problems so far" is NOT clearance); until=verdict waits for verified, failed, or inconclusive. Returns the in-progress document if timeout_seconds (max 300) is reached; call again while it is still in progress. Inconclusive means not verified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
untilNoinitial
commitNoCommit SHA (prefix of 7+ characters is fine).
latestNoUse the most recent deployment.
versionNoRelease version, e.g. v184.
deployment_idNoDeployAngel deployment ID.
timeout_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the burden well: it discloses the 300-second timeout cap, that it returns the in-progress document on timeout, that the caller should re-invoke, and that 'no problems so far' is not clearance and inconclusive is not verified. Missing only whether the call blocks, and no rate-limit or auth context.

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?

Front-loaded with the core action, then four tight sentences covering mode semantics, timeout behavior, retry guidance, and the inconclusive pitfall. Every sentence carries distinct information; the parenthetical warnings are high-value rather than filler.

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

Completeness4/5

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

For a 6-parameter polling tool with no annotations and no output schema, the description supplies the critical behavioral contract (timeout, retry, terminal vs non-terminal states). It could say a bit more about what a verdict result contains, but it is largely self-sufficient.

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

Parameters4/5

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

Schema coverage is a moderate 67%, and the description adds genuine semantics beyond it for the until enum (initial = 15-minute check, verdict = verified/failed/inconclusive) and the timeout_seconds cap. It adds little for the commit/latest/version/deployment_id selectors, which rest on schema descriptions.

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: waits for a deployment's verification, with two distinct modes (initial check vs verdict). It is distinguishable from a one-shot get_verification in spirit, but the description never explicitly contrasts the two sibling tools, so sibling differentiation is left 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 Guidelines4/5

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

Clear operational guidance: until=initial returns at the 15-minute initial check, until=verdict waits for a terminal state, and when timeout_seconds is hit you should call again while still in progress. It stops short of saying when to prefer this over get_verification or when to skip waiting entirely.

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