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chatwoot_get_first_response_distribution

Read-only

Get a histogram of first response time distribution to identify which time range most first responses fall into. Choose period and output format.

Instructions

Returns a histogram of first response time distribution.

Allows identifying which time range most first responses fall into.

Args:
    period: Analysis period.
    output_format: Output format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo30d
output_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false, and the description is consistent with a safe read operation. It adds that the output is a histogram, but it does not disclose aggregation behavior, bucketing, or timezone handling. With the safety profile covered by annotations, this is reasonable but not rich.

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?

The definition is compact and front-loads the core behavior in the first sentence. The second sentence adds a small but useful purpose hint, while the redundant Args block is minor noise that does not materially hurt readability.

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 simple read-only analytics tool with two optional enum parameters, defaults, and an output schema, the description covers the essential invocation contract. It does not explain edge cases or exactly what 'first response time' means, but the schema and annotations carry enough of the structural burden that the tool can be selected and called correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description's Args entries—'period: Analysis period' and 'output_format: Output format'—add almost no meaning beyond the parameter names. The schema itself supplies enums and defaults, but the description fails to compensate for the total lack of schema descriptions.

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 opens with a specific verb and resource: 'Returns a histogram of first response time distribution,' and adds an analytical intent. It is clear and distinct in function from siblings like get_csat_metrics or get_agent_performance, though it does not name those alternatives.

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 phrase 'Allows identifying which time range most first responses fall into' implies the use case for analyzing response-time concentration, but it never states when to prefer this tool over a sibling or when not to use it. No alternatives or exclusions are given, so the guidance is only implicit.

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