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create_inbox_reply_suggestion

Create a draft reply suggestion that appears inline in the FavCRM Inbox composer. Use this for message.inbound events with replyPolicy="suggest"; it does not send anything to the customer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesDraft reply text for the merchant to review
agentIdYesAI colleague ID creating the suggestion
subjectNoOptional email subject suggestion
metadataNoOptional metadata such as rationale, confidence, or source refs
conversationIdYesInbox conversation ID
sourceMessageIdNoInbound message ID this draft responds to

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

A4.5/5.0
Behavior4/5

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

Beyond annotations, the description discloses that the draft appears inline in the composer and that no customer communication occurs. Annotations already cover read-only/destructive hints, so the added context of non-sending is valuable but not exhaustive.

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?

Two concise, front-loaded sentences. Every clause earns its place: the action, the location, the trigger condition, and the critical exclusion of sending.

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?

Given the presence of a complete schema and output schema, the description sufficiently covers purpose, trigger, and key behavioral boundary. No critical context is missing for an agent to select and invoke the tool correctly.

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?

Schema description coverage is 100%, so the baseline is 3. The description does not add extra parameter-level meaning beyond what the schema already provides, but the schema fully documents each field.

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 uses a specific verb and resource: 'Create a draft reply suggestion that appears inline in the FavCRM Inbox composer.' It clearly distinguishes from sibling tools by noting it does not send anything to the customer.

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 states when to use: 'Use this for message.inbound events with replyPolicy="suggest"'. Also provides a clear exclusion—'it does not send anything to the customer'—which guides the agent away from using it for sending.

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.