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christianclaudio

mcp-server-sigma

sigma_bulk_sync_tenant_connections

Sync connections for every tenant organization in one bulk operation, handling per-tenant authentication and connection updates.

Instructions

Sync connections across all tenant organizations.

Lists all tenants, then for each tenant: obtains a tenant-scoped token, lists their connections, and syncs each one. Requires multi-tenant auth (for_tenant method). Uses bounded concurrency.

NOTE: Requires PyJWT and the for_tenant() method (Phase C). Returns an error if token exchange is not available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate non-read-only, non-destructive, and open-world behavior. The description adds valuable behavioral context: it lists tenants, exchanges tokens, syncs each connection, uses bounded concurrency, and returns an error if token exchange fails. This goes beyond the annotations without contradicting them.

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 description is compact and front-loaded with the main purpose, followed by a clear algorithm and requirements. The 'Phase C' note adds minor noise, but every other sentence earns its place, making it appropriately concise without sacrificing necessary details.

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

Completeness3/5

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

The description explains the high-level process, auth requirements, and error behavior well. However, it omits the semantics of the only parameter (dry_run), which is critical for a bulk operation with side effects. The output schema exists, so return values are covered, but the missing parameter documentation prevents full completeness.

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

Parameters1/5

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

The only parameter, dry_run, has a default of true and no schema description (0% coverage). The description never mentions dry_run or its effect, leaving the agent without crucial information about whether the tool will actually mutate state or just preview changes. This is a major gap.

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 clearly states the verb 'Sync' and the resource 'connections across all tenant organizations', distinguishing it from single-tenant sync tools like sigma_sync_connection. It also outlines the multi-step process invoked, leaving no doubt about the tool's scope.

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?

The description provides clear context that this is a bulk operation across all tenants and mentions prerequisites (multi-tenant auth, PyJWT). It does not explicitly name alternatives or when-not-to-use, but the bulk vs. single scope is implicit in the name and sibling list, so this is more than adequate.

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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