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Send AI Cofounder Message

send_ai_cofounder_message

Send a signed message to an AI Cofounder chat. Before offering this action or requesting its inputs, check business permissions. FREE businesses cannot use this tool, regardless of individual feature rows. Call check_business_tool_access before collecting inputs. Show any grace-period warning and verified resubscribe link before continuing, and never proceed when access is blocked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chatIdYes
messageYes
platformNo
timezoneNo
actionTypeNo
intentTypeYes
responseIdNo
attachmentsNo
communityIdYes
templateObjectIdNo

TDQS

A3.9/5.0
Behavior3/5

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

Annotations are minimal (no readOnly, no destructive). The description adds that the message is 'signed' and that permission checks are required, but does not disclose further behavioral traits such as idempotency, rate limits, or what happens upon success or failure. It meets the minimum acceptable level.

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 core purpose, followed by a compact, instruction-rich second sentence. Every sentence adds necessary information without redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (10 parameters, 4 required, no output schema), the description only covers permission checks and a brief purpose. It fails to explain parameters, return values, or error handling, making it insufficient for an agent to fully understand and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameters. It does not describe any of the 10 parameters (e.g., chatId, message, intentType) beyond the implicit 'send a signed message' purpose. This leaves the agent without semantic context for parameter values.

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 verb 'Send' and the resource 'AI Cofounder chat', with the specific qualifier 'signed message'. This accurately distinguishes it from sibling tools like list_ai_cofounder_chats or create_ai_cofounder_chat.

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 instructions: check business permissions, call check_business_tool_access, handle grace-period warnings, and never proceed when blocked. It also clarifies that FREE businesses cannot use this tool, giving clear when-not-to-use guidance.

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

B3/5.0
Disambiguation2/5

Many tools are semantically identical, distinguished only by 'business' vs 'community' prefixes, and descriptions explicitly state they are interchangeable. This creates ambiguity for agent selection. Examples include add_business_admins/add_community_admins and get_business/get_community.

Naming Consistency3/5

Tools generally follow a verb_noun pattern, but the inconsistent use of 'business' vs 'community' for the same entities breaks the pattern. While individual naming is clear, the overall set lacks uniformity.

Tool Count1/5

With 423 tools, the server is massively over-scoped. The high count is driven by redundant 'business' and 'community' variants and many niche operations. A more focused surface would be far more manageable.

Completeness4/5

The tool set covers a broad range of features including CRUD operations for multiple product types, analytics, payments, messaging, and integrations. Minor gaps exist (e.g., missing update for some entity types), but overall domain coverage is strong.

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