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list_teams

Read-onlyIdempotent

List this account's teams (user groups) with their members and the cost-tag tag_value each is reserved under — team-scoped budgets (create_budget with scope_type: "team") reference a team's id as scope_ref. Mirrors GET /api/accounts/:accountId/teams.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds genuine context beyond that: the return payload includes members and the reserved cost-tag tag_value, which is not derivable from the annotations. It omits pagination or auth requirements, but for a bounded read-only listing this is solid.

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?

A single front-loaded sentence opens with the core action and then layers scope and integration detail via an em-dash. Slightly dense with parentheticals, but every clause (members, tag_value, scope_ref linkage, API mirror) earns its place.

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?

With no output schema, the description partially compensates by naming the returned fields (members, reserved tag_value) and the endpoint mirrored. Combined with full annotation coverage, an agent has enough to invoke and interpret it correctly, though return shape remains only loosely sketched.

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

Parameters4/5

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

The tool takes zero parameters and the schema coverage is 100%, so there is nothing to document; baseline 4 applies. The description adds no parameter surface, which is correct here.

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 and resource ('List this account's teams') and further specifies scope by naming what is returned: members and the cost-tag tag_value each team is reserved under. An agent can distinguish it from sibling list_* tools without opening the schema.

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?

Explicitly connects to the downstream use case: team-scoped budgets created via create_budget with scope_type 'team' reference a team's id as scope_ref. This tells the agent why it would call this tool, though it stops short of stating when not to use it or naming an alternative listing.

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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