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request_send_approval

Create a merchant-owned Workroom approval request for a customer-facing send. The agent must not call send_message, send_whatsapp_message, send_test_campaign, or send_campaign directly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesAI colleague ID that is a participant in the thread
payloadYesExact tool payload to execute if the merchant approves
summaryYesHuman-readable draft/recipient/campaign summary shown above the approval buttons
threadIdYesWorkroom thread ID where the approval button should appear
actionTypeYesThe customer-facing action to execute only after merchant approval

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesTool result payload — shape varies per tool, see the tool description
summaryYesOne-line human-readable summary of the action
renderTypeYesUI rendering hint for the result

TDQS

A4.2/5.0
Behavior3/5

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

Annotations indicate this is a write operation (readOnlyHint: false), not idempotent, and not destructive. The description adds context by explaining it creates an approval request and that it is merchant-owned, but does not disclose further behavioral traits such as what happens after approval, potential side effects, or required permissions. It adds some value beyond annotations but not deeply.

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

Conciseness5/5

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

The description is two sentences, front-loaded with the main purpose, and a clear directive. Every word earns its place; there is no fluff or redundancy.

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 the tool has an output schema and comprehensive parameter descriptions, the description covers the essential context: what the tool does and when to use it. It lacks details about the approval workflow after request creation, but the schema and output schema likely cover return values. Overall, it is adequately complete for a tool with rich structured metadata.

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?

The input schema has 100% description coverage for all five parameters, including the payload's role and actionType's enum. The description itself does not add parameter-level detail beyond what the schema provides, so the baseline score of 3 is appropriate.

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 tool's function with a specific verb and resource: 'Create a merchant-owned Workroom approval request for a customer-facing send.' It also differentiates from sibling tools by explicitly listing the direct send tools (send_message, send_whatsapp_message, send_test_campaign, send_campaign) that the agent must not call, making the tool's unique role unmistakable.

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?

The description provides explicit usage guidance by stating the agent must not call direct send tools and instead use this approval request tool. This effectively says 'use this when you need to perform a customer-facing send requiring merchant approval' and names the alternatives to avoid. It is clear and actionable.

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

B3.3/5.0
Disambiguation2/5

Many tools have overlapping boundaries, such as generate_post_cover/attach_post_cover_from_job/upload_post_cover_from_url, update_deal/update_deal_stage/mark_deal_won/mark_deal_lost, and booking status transitions (confirm/cancel/complete/mark_no_show). The catch-all execute_tool adds further ambiguity.

Naming Consistency4/5

Nearly all tools follow a consistent verb_noun snake_case convention (create_*, list_*, get_*, update_*, delete_*, restore_*). Minor exceptions like 'clone' and 'execute_tool' are still readable and do not significantly break the pattern.

Tool Count1/5

With 223 tools, the server is extremely over-scoped. Even for a full CRM platform, this many tools overwhelms context windows and makes tool selection impractical. It far exceeds the reasonable range for an MCP server.

Completeness3/5

The surface is broad but has notable gaps: no update_booking/delete_booking, no delete_product, no send_message/send_campaign (referenced but absent), and no delete_staff/resource. Some workflows dead-end or require manual approval steps.