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make_list_data_stores

List Make.com data stores for a team, returning id, name, and record information.

Instructions

List Make.com data stores (Make's built-in lightweight database) for a team. team_id falls back to the configured team or the only team. Returns id, name and record info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax data stores to return (default 200)
team_idNoTeam ID (optional; falls back to configured MAKE_TEAM_ID or the only team)
Behavior4/5

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

No annotations provided, so description carries the burden. It discloses the team_id fallback and return fields, but does not state read-only nature or any limits beyond the limit parameter.

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?

Two sentences, front-loaded with purpose, every sentence adds value. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description specifies return fields (id, name, record info) and explains team_id behavior. Completeness is high for a list tool with simple parameters.

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 provides full descriptions for both parameters (limit, team_id). Description restates the fallback behavior already in schema, adding no new meaning. Baseline 3 is appropriate.

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?

Clearly states the tool lists Make data stores, a specific resource, and distinguishes it from sibling tools like make_list_scenarios by naming the resource type and including record info in returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Describes the tool's use case (listing data stores for a team) and the team_id fallback behavior, but doesn't explicitly specify when not to use it or compare with alternatives.

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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