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easyparser-com

Easyparser

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get_bulk_webhook_logs

Read-only

Check webhook delivery logs for bulk jobs to find why a completed job's callback wasn't delivered. Filter by job, status, or date to verify delivery success and timestamps.

Instructions

Check webhook delivery logs for bulk jobs: whether the completion notification was delivered to the user's callback_url, delivery status, and timestamps. Use this when a job shows as completed but the user's system never received the webhook — the classic "job finished but my integration didn't fire" debugging case.

Scope to one job with group_id (from list_bulk_jobs), or omit it to scan recent deliveries across all jobs. This tool is free of per-call credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number. Default 1.
limitNoItems per page (max 1000). Default 100.
statusNoFilter by delivery status (e.g. 'success', 'failed').
date_toNoISO date upper bound.
group_idNoScope logs to one job's group_id. Omit to see recent webhook deliveries across all jobs.
date_fromNoISO date lower bound.
request_idNoFilter by an individual request ID.
sort_directionNoSort by creation time. 'desc' (newest first) is default.desc
bulk_request_idNoFilter by the job's bulk_request_id.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.4.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and non-destructive behavior, so the added value comes from context: the tool inspects delivery to the callback_url, returns status and timestamps, and is free of per-call credits. This enriches the operational picture beyond the structured annotations without contradicting them.

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?

The description is three sentences with no filler: purpose is front-loaded, the main use case is immediately clear, and the scoping options are stated economically. The free-credit note is useful and earns its place.

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 9-parameter, optional-parameter read-only tool, the description covers the primary use case, scoping strategy, and expected output concepts. It doesn't enumerate every parameter, but the schema handles those details. A minor gap is the lack of any statement about pagination or response shape, but the absence is not critical given the schema descriptions.

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 description coverage is 100%, so the baseline is 3. The description adds meaningful provenance for group_id ('from list_bulk_jobs') and reinforces the omit-vs-scope behavior. This is a modest but real improvement over the schema alone.

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

Purpose5/5

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

The description names a specific verb and resource: 'Check webhook delivery logs for bulk jobs' and clarifies the deliverable ('whether completion notification was delivered to callback_url, delivery status, and timestamps'). It also frames the tool around a concrete debugging scenario, distinguishing it from siblings like get_error_logs and list_bulk_jobs without ambiguity.

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?

The description gives an explicit trigger: 'Use this when a job shows as completed but the user's system never received the webhook.' It also explains the group_id scoping option and the all-jobs scan behavior. However, it does not explicitly state when to prefer an alternative sibling tool or when not to use this tool, so it misses the full 'when-not/alternatives' test.

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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