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Market Brew

Count visible Crew accounts

count_crew
Read-onlyIdempotent

Use this when the user asks to count visible Crew accounts. Returns only data visible to the linked Market Brew account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional filters: customerId, crewIds (comma-separated numeric Crew IDs), websiteId, serverHost, startDate, and endDate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds one useful behavioral fact — results are scoped to the linked Market Brew account's visibility — but says nothing about return shape or aggregation semantics.

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?

Two short sentences with the usage trigger front-loaded and no filler. The first sentence is close to a restatement of the title, which keeps it just under full marks.

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 no-required-param counting tool with full annotation coverage and a fully documented schema, the description covers purpose and the account-visibility constraint. There is no output schema, but the aggregate nature of a count makes return details largely self-evident.

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%, and the single nested 'query' object already enumerates all supported filters (customerId, crewIds, websiteId, serverHost, startDate, endDate). The description adds no parameter-level meaning, so the baseline 3 applies.

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 (count) and resource (visible Crew accounts), which cleanly separates it from get_crew, get_current_crew, and list_crew_websites by implying an aggregate rather than a single record or list. It does not explicitly name those siblings, so it falls short of a 5.

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?

"Use this when the user asks to count visible Crew accounts" is a usage trigger, but it essentially restates the purpose rather than contrasting with alternatives. No when-not conditions or sibling routing are given, so the guidance is implied at best.

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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