Skip to main content
Glama

Helpwise MCP by usefulapi

Overall report

helpwise_get_report
Read-only

Overall and team-performance report for a date range: new/closed/assigned conversations (with change vs the previous period), inbound/outbound messages per day, busiest hour/day, average first response, response and resolution time, CSAT and per-agent performance. Optional inbox and tag filters. GET /reports.

Input Schema

NameRequiredDescriptionDefault
endYesEnd, yyyy-mm-dd or yyyy-mm-dd hh:mm:ss (a date alone means 23:59:59).
startYesStart, yyyy-mm-dd or yyyy-mm-dd hh:mm:ss (a date alone means 00:00:00).
tag_idsNoOnly conversations with these tag ids.
inbox_idNoOnly this inbox (default: all inboxes).
business_hours_onlyNoCount business hours only (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile needs no restating. The description goes beyond that by disclosing report semantics: change vs the previous period, per-day message breakdowns, busiest hour/day, and that it maps to GET /reports. It says nothing about rate limits or pagination, but the added content is substantive.

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?

Front-loaded with the purpose, then a dense but scannable enumeration of report contents, closing with the filter note and endpoint. Nearly every clause earns its place, though the metric list is long enough to verge on inventory dump.

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?

With no output schema, the description usefully compensates by enumerating the report's return contents — counts, time series, averages, CSAT, per-agent rows. For a read-only analytical endpoint whose safety is covered by annotations, that covers what an agent needs before calling.

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 100%, so all five parameters are documented in the schema itself, including the date formats and the business-hours flag. The description only restates that inbox and tag filters are optional and adds no syntax or defaults beyond the schema — the correct baseline when structured data carries the load.

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 (get) and resource (report) and enumerates the report's contents in detail — conversation counts, message volume, response/resolution times, CSAT, per-agent performance. It clearly identifies itself as a reporting tool, but never names or distinguishes itself from the sibling helpwise_get_tags_report, so an agent reading only the description must infer the split.

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?

The note 'Optional inbox and tag filters' implies when scoping makes sense, but there is no explicit when-to-use guidance and no routing against the obvious alternative, helpwise_get_tags_report. Usage is left to inference.

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.