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Glama

answer_inbox

Destructive

Reply to LinkedIn messages directly, or approve or discard drafted replies to manage your outreach inbox.

Instructions

Reply in a LinkedIn conversation, or approve or discard a drafted reply.

"reply" and "approve_draft" SEND a LinkedIn message and cannot be undone.
Reading the inbox is the inbox tool.

Args:
    action: "reply", "approve_draft" or "discard_draft".
    chat_id: Which conversation, or which draft.
    text: What to send, or an edited version of the draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNo
actionYes
chat_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.10.389

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already flag destructiveHint=true and readOnlyHint=false, and the description adds meaningful behavioral detail: 'reply' and 'approve_draft' SEND a LinkedIn message and cannot be undone. It does not explicitly state whether discard_draft is also irreversible, which is the only small gap.

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 compact: a one-line purpose, a warning about irreversibility, a sibling routing note, and a clean args list. It front-loads the most important facts and has no filler.

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, not explaining return values is acceptable. The description covers actions, target, content, and irreversibility, but it leaves the send_message sibling unaddressed and does not clarify whether text is required for reply/approve_draft, so an agent may need to infer those preconditions.

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

Parameters5/5

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

Schema coverage is 0%, yet the description documents all three parameters: action values ('reply', 'approve_draft', 'discard_draft'), chat_id as the conversation/draft, and text as the message or edited draft. This fully compensates for the sparse schema and adds allowed values via prose.

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?

Description opens with a concrete verb+object: 'Reply in a LinkedIn conversation, or approve or discard a drafted reply.' It clearly delimits three actions and distinguishes it from the inbox read tool ('Reading the inbox is the inbox tool'), so an agent can tell it apart from siblings like inbox.

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?

It provides explicit routing away from reading ('Reading the inbox is the inbox tool') and warns that reply/approve_draft send a message and cannot be undone. However, it does not address the sibling send_message tool, so the boundary between sending a fresh message and answering an inbox conversation is implied rather than stated.

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