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VarynForge

List organizations

list_organizations
Read-only

List the organizations this account belongs to — id, name, your role (owner | admin | member), is_personal, plan, and member_count — plus pending invitations awaiting a response (accept them in the web app). Plans, credits, and usage limits are per-organization, and a project belongs to exactly one organization. Pass an organizationId to create_project to target a specific organization, or to get_account_status to read that organization’s caps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the minimal readOnlyHint: true annotation, the text carries significant behavioral weight, describing the return padding/ordering (the list includes pending invitations and per-organization limits) and the fact that this service side-effect-free. The inclusion of semantics such as mentions of the domain (plans, credits, and limits are scoped to an organization, a project belongs to exactly one organization) tells a calling agent the relevance context without calls. It doesn't reveal whether the list is empty or deterministically ordered, but it's a strong probe.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is on the wordy side for a zero-parameter function: the field enumeration is good, but the second sentence mixes a domain note about the project↔organization relationship (which sits better near create_project) and carries a marginally related note about per-organization ratings. Trimming and reshaping would tighten the point, though the most pertinent details are still up front.

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?

Given this endpoint has no parameters, no output schema, and no nested entities, the description sufficiently covers call/return semantics with in-text enums for roles. It points out the caveat about pending invitations and current next steps (create_project/get_account_status), making it fully callable by any agent. It doesn't spell out failure modes (e.g., authentication errors) or empty-list behavior, but it's nearly unimpeachable for a parameterless read.

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?

There are no parameters to document (zero parameters, zero required). The textual description exhaustively covers the empty input contract; a neutral-high score of 4 is appropriate when there is nothing left to describe, while the text still enriches the model with the fields in play.

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?

The description begins with a clear, specific action ('List the accounts this account belongs to'), followed by the exact set of fields returned (id, name, role with its enum values, is_personal, plan, member_count). This unambiguously distinguishes it from sibling list_* functions without leaving the reader guessing which object type is being enumerated. It is specific enough to select correctly.

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?

It describes handling the result (a pre-specifically-directed next step: 'Pass an organizationId to create_project... or get_account_status') and handles the edge case of pending invitations (which occur in the web app). It doesn't explicitly contrast with list_projects, but the field-level detail makes the boundary clear. It would be stronger with a direct 'This function does not require an organizationId.'

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes, but a few pairs could confuse an agent: add_article_suggestion vs create_article_suggestion_with_input, and get_article_brief vs download_brief_markdown vs get_write_handoff all deal with brief content. The detailed descriptions help disambiguate, but the overlap is real.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lowercase snake_case (create_project, list_opportunities, generate_article_brief, lint_draft). There is no mixing of camelCase, acronyms, or vague verbs, making the naming predictable and readable.

Tool Count2/5

50 tools is excessive for an MCP server, even for a broad platform like content operations. While the scope is large, this many tools will overwhelm agents and increase latency and context cost. Most practical servers are well under 25.

Completeness4/5

The tool surface covers the full content lifecycle: project creation, research, opportunity clustering, content planning, briefs, drafting, linting, publishing, and reporting. Minor gaps exist (e.g., no delete_project, no remove_destination, no direct analytics beyond distributions), but they are workarounds or handled in the web UI.

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