Skip to main content
Glama

send_followup

Add another message to a conversation already opened with contact_business. Returns the updated message thread. There is a cap on messages per conversation, so send one considered follow-up rather than several fragments. Authentication: bearer token required — the same one used for contact_business — plus the conversation_id and token for the conversation itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesThe secret `token` returned by contact_business.
messageYesThe message body. Maximum 4000 characters.
conversation_idYesThe `conversation_id` returned by contact_business.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden. It mentions the message cap, return of the updated thread, and authentication requirements. It doesn't detail rate limits or error handling, but the disclosed cap is a key behavioral trait for a follow-up tool.

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?

Three concise sentences cover purpose, usage guideline, and authentication/details. No redundant information; every sentence adds value. The structure is front-loaded with the main action.

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 3 required parameters, no output schema, and no annotations, the description provides necessary context: purpose, prerequisite (contact_business), cap, and authentication. It could briefly note that message is the content, but that's in schema. Overall adequate.

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% with descriptions for each parameter. The description adds value by explaining that token and conversation_id come from a prior contact_business call, providing context beyond the schema. This clarifies the parameter relationships.

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 explicitly states the tool adds a message to an existing conversation opened with contact_business, distinguishing it from sibling tools like contact_business (which opens the conversation) and check_replies. The verb 'add' and resource 'message to conversation' are clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

The description warns about a message cap per conversation, guiding the agent to send one considered follow-up rather than fragments. It also notes the required authentication and the need for conversation_id and token from contact_business, implying that contact_business should be called first. However, it doesn't explicitly list alternatives or when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but ask_business and ask_business_freeform both serve the core function of asking a question about a listing, which could cause misselection. The detailed descriptions mitigate the overlap, but the similar intent remains a minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (ask_, check_, contact_, get_, search_, send_), with only ask_business_freeform adding a modifier that still fits the convention. Naming is predictable and readable.

Tool Count5/5

Nine tools is well-scoped for a knowledge base server, covering discovery (search, get), questioning (ask), asynchronous communication (contact, followup, replies, escalation), and verification. Each tool earns its place without unnecessary bloat.

Completeness5/5

The tool set provides full coverage of the domain: finding businesses, reading profiles, asking structured and freeform questions, escalating unresolved queries, opening and continuing conversations, and checking verification. Poll-based tools handle dead ends explicitly, so there are no obvious gaps.

Resources