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Check a newsletter before sending

check_newsletter
Read-onlyIdempotent

The send pre-flight: sender, audience counts after consent, suppressions and the frequency cap, email setup readiness, and every content and link check. canSend says whether it can be scheduled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaignIdYesNewsletter id from list_newsletters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered structurally. The description adds useful behavioral detail by listing the checks performed and surfacing the canSend decision field, but says nothing about cost, latency, or what happens if checks fail beyond the boolean.

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 tight sentences, front-loaded with the pre-flight framing and then a compact enumeration of check categories. Every clause earns its place, though the final sentence is slightly clipped and relies on the reader to infer what canSend contains.

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?

With no output schema, the description carries the full burden of explaining returns, and it only names one field (canSend) out of what is clearly a multi-part check result. The input side is fully covered by the schema, but an agent cannot tell the shape or granularity of the diagnostic output it will receive.

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?

There is a single parameter with 100% schema description coverage ("Newsletter id from list_newsletters."), so the schema fully documents it. The description adds no additional meaning about campaignId, which is the correct baseline of 3 when structured data does the heavy lifting.

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?

The description names a specific operation (a send pre-flight for a newsletter) and enumerates exactly what it evaluates: sender, post-consent audience counts, suppressions, frequency cap, email setup readiness, and content/link checks. It is clearly distinguishable from nearby siblings like get_newsletter_results or preview_newsletter, though it never explicitly contrasts itself with them.

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?

"The send pre-flight" implies the tool is used before scheduling or sending, and the closing line ties canSend to schedulability, so the usage context is inferable. However, it never states when to use this versus preview_newsletter, count_newsletter_audience, send_test_newsletter, or schedule_newsletter, and offers no prerequisites or exclusions.

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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