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Generect Live API MCP Server

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by generect

Poll a bulk job (free)

get_bulk_job
Read-onlyIdempotent

Check bulk job status and results by job_type and job_id. Poll periodically to retrieve progress and final output without spending credits.

Instructions

Status and results of a bulk job. FREE — this call never spends credits. Polling is free — the work was already billed at submit time. Poll every few seconds, not in a tight loop.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesjob_id returned by start_bulk_job.
job_typeYesSame job_type used at submit.
timeout_msNoRequest timeout in milliseconds.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobNo
costNo
job_idNo
resultsNo
job_typeNo
test_modeNo
test_mode_noticeNo
vocabulary_warningsNo
deprecated_params_ignoredNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv0.12.2
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • addedOutput schema / properties / deprecated_params_ignored / propertyNames
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / vocabulary_warnings / items
      Added value: +{}
  2. Addedv0.9.0

TDQS

A3.8/5.0
Behavior4/5

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

Goes beyond the readOnly/idempotent annotations with a materially important billing fact: the call is free, credits were already charged at submit time. That is exactly the kind of context an agent budgeting calls needs. It stops short of describing behavior when the job is still running or how failures surface.

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?

Three short sentences, front-loaded with what the tool returns, then the cost reassurance, then the cadence rule. Nothing is redundant and no sentence is wasted.

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?

An output schema exists, so return values need not be explained, and both required params are fully documented in the schema. The free/billing and polling-cadence context is the key missing piece from annotations, and it is present. Only the non-terminal job state behavior is unaddressed.

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 coverage is 100% with descriptions on all three parameters, so the schema already carries the load. The description adds no parameter-level detail (e.g., timeout_ms tuning or job_type echoing rules), so baseline 3 applies.

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 (retrieves status and results of a bulk job) and pairs naturally with the start_bulk_job sibling referenced in the schema. It does not explicitly name the sibling it complements, but the polling/status framing is unmistakable.

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?

Provides cadence guidance ("Poll every few seconds, not in a tight loop"), which is genuinely useful, but never states the trigger condition explicitly (call after start_bulk_job until a terminal state). Usage is implied rather than spelled out, and no alternatives are named.

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