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Get agent report

get_report
Read-onlyIdempotent

Summarize how an agent performed over the last 7, 30 or 90 days: conversations by channel, leads, bookings, handoffs, the most-asked questions and how many went unanswered.

Input Schema

NameRequiredDescriptionDefault
daysNoReporting window in days.30
agent_idYesThe agent_id from list_agents.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and non-destructive, so safety is covered. The description adds genuine behavioral context by naming the three fixed reporting windows and the exact contents of the report — valuable given there is no output schema. It stops short of saying whether figures are aggregates vs. per-period breakdowns.

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?

One sentence, front-loaded with the purpose, then a compact colon-delimited list of outputs. Nothing is padded and no clause needs to be re-read.

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, closed-world, two-parameter report tool with full schema coverage and no output schema, the definition covers purpose, windows and the metric set. The remaining gap is the shape of the response — whether metrics are single totals or broken down per period/channel — which an agent must discover at call time.

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%: both params are described, the days enum with its default is spelled out, and agent_id points at list_agents. The description's mention of '7, 30 or 90 days' merely echoes the enum, adding no format or fallback semantics, so the baseline 3 applies.

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?

States a specific verb ('Summarize') plus resource ('how an agent performed') and then enumerates the exact metrics returned: conversations by channel, leads, bookings, handoffs, top questions, unanswered count. That enumeration effectively separates it from sibling list tools like list_leads or list_unanswered_questions, which return raw rows rather than an aggregate report.

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 description implies the usage context (periodic performance review over 7/30/90 days) but never says when to pick this over get_agent or the list_* siblings, nor any exclusions or prerequisites beyond the schema's reference to list_agents for the ID. Usage is inferable but not guidance.

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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