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rankparse-mcp

outreach_configure_sending

Update the Gmail sending schedule: max_sends_per_day (1-100, applies account-wide across all campaigns) and/or auto_send_enabled (false stops ALL sending, true resumes it). Lowering the cap or turning sending off applies immediately. For most accounts, raising the cap or turning sending on needs the user's approval in RankParse: the response is 202 with ok true, status awaiting_approval and a review_url, and nothing has been increased yet, so show the user the review_url. For other accounts a raise applies directly and returns ok true. A request that mixes both applies the decrease or disable now and proposes the rest; the message then starts "Applied now: ...". If it fails with change_in_progress, another sending change is already approved or running. The increase was not applied, but any decrease or disable in the same request has been applied (see applied and message): send the increase again after it completes (check list_proposals). If status is approved, it is already approved; do not ask again. Confirm with the user before changing these; they control real email volume.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auto_send_enabledNoMaster switch for the hourly send sweep
max_sends_per_dayNoDaily send cap across all campaigns (1-100)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only give the generic mutation profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true); the description goes far beyond by disclosing the 202/awaiting_approval response shape, the review_url, the mixed-request partial-apply semantics ('Applied now: ...'), the change_in_progress failure mode and what was/wasn't applied, and the 'approved' no-op case. This is unusually rich behavioral context for an agent.

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?

Long but dense with no filler; it is front-loaded with the parameters and their effects, then the outcome branches. Slightly heavy for a two-parameter tool, but each sentence carries distinct operational information.

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?

With no output schema and only generic annotations, the description supplies the response shapes, status values, and error handling an agent needs to act correctly. Nothing material is missing for invoking and interpreting this tool.

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?

Schema coverage is 100%, so baseline is 3, but the description adds meaning the schema doesn't: max_sends_per_day applies account-wide across all campaigns, and auto_send_enabled=false stops ALL sending while true resumes it. That is genuine semantic enrichment beyond the field-level schema text.

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 (update the Gmail sending schedule) and enumerates the two controllable settings with their scope. An agent can distinguish this from read-only siblings like outreach_sending_status or outreach_get_campaign 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 Guidelines5/5

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

Explicitly covers when the change applies immediately (lowering the cap, disabling) versus when it needs user approval (raising, enabling), names the required user action (show the review_url), and warns to confirm with the user before changing these because they control real email volume. It also routes to list_proposals for the recurring case.

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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