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SupportBee MCP by usefulapi

Get a report

supportbee_get_report
Read-only

A report as time-series data points (value, timestamp): tickets_count, replies_count or avg_first_response_time, optionally for one agent, team or label. Needs an admin token. GET /reports/{report}.

Input Schema

NameRequiredDescriptionDefault
teamNoOnly this team (team id).
userNoOnly this agent (user id).
labelNoOnly this label (name).
sinceNoStart of the period (date, ISO date-time or Unix timestamp).
reportYesWhich report.

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?

With only readOnlyHint available, the description carries meaningful extra weight: it discloses the admin-token authorization requirement, the underlying endpoint (GET /reports/{report}), and the return shape as time-series data points. What it does not cover – pagination, date-range defaults, or granularity of the series – keeps it from a 5.

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, front-loaded sentence plus a compact endpoint reference; nothing is padded. It is slightly over-packed (report types, filters, auth, and route in one breath), but every clause carries information.

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 read-only, no-output-schema tool, the description supplies the essentials: what is returned, its point structure, the available scoping filters, the report enum values, and the auth requirement. Only secondary details like time-series granularity or default date range are absent.

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 the schema already documents user, team, label, since and the report enum. The description only restates that one agent/team/label may be selected, adding no syntax or format detail (e.g. how `since` interacts with windowing). Baseline 3 is appropriate.

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?

The description names the exact resource (a report), the three concrete report types it can return (tickets_count, replies_count, avg_first_response_time), and its output shape (value/timestamp pairs). It is unambiguous, though the action verb is left implicit (inherited from the title) rather than stated, and there are no sibling report tools to differentiate from.

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?

It states a real precondition ("Needs an admin token") and that filtering by agent, team or label is optional, which tells the agent how it may be scoped. There is no when-to-use/when-not guidance or any named alternative, so usage context is implied rather than explicit.

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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