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This connector has been deprecated

This connector has been replaced by https://glama.ai/mcp/connectors/io.favcrm/favcrm/admin

post_workroom_message

Post an internal message from an AI colleague into a Workroom thread. Use this to report findings, ask the owner for approval, or share source links after reading CRM/Inbox data. This does not send anything to customers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesAI colleague ID that is a participant in the thread
contentYesMessage to show in Workroom. Markdown is allowed.
metadataNoOptional generic metadata, e.g. {sourceRefs:[{type:"inbox_conversation",id:"..."}]}
threadIdYesWorkroom thread ID

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

A4.4/5.0
Behavior4/5

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

Annotations already indicate it's not read-only (readOnlyHint=false) and not destructive (destructiveHint=false). Description adds that it's internal and doesn't send to customers, which is useful beyond annotations.

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 sentences, no filler. Every sentence adds value: one defines the action, the other provides usage guidance and exclusion.

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?

With an output schema present, return values need not be described. The tool has moderate complexity (4 params, nested metadata), and the description covers purpose, usage, and exclusions. Lacks error conditions or auth info, but context is solid.

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 coverage is 100%, so parameters are well-documented. Description provides minimal added meaning (e.g., mentioning markdown in content), but doesn't enrich understanding significantly beyond the schema.

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?

Clearly states 'Post an internal message from an AI colleague into a Workroom thread,' specifying the action, resource, and scope. It distinguishes from sibling tools that might send external messages.

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 describes when to use: 'report findings, ask the owner for approval, or share source links' and clarifies what it does not do ('does not send anything to customers'), providing clear context and 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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear descriptions that minimize ambiguity. Even related tools like create_post vs create_post_type are well-separated by their targets.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., create_account, list_services, update_post), with no mixing of naming conventions. The pattern is predictable throughout the set.

Tool Count1/5

190 tools is excessively large for any server, far exceeding the typical 3-15 tool range. The sheer volume overwhelms agents and suggests poor scoping, even for a comprehensive CRM platform.

Completeness4/5

The tool set covers CRUD operations across many domains (CRM, bookings, marketing, CMS, etc.), but notable gaps exist (e.g., no delete_account, delete_contact, update_booking). These are minor given the vast surface.

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