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Immobiliare.it: Reply to conversation

immobiliare_reply_to_conversation

Immobiliare.it: Send a reply as you in a Messages conversation. Sends a message in an existing conversation under your name and returns its ID and time. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesReply text.
conversation_idYesConversation ID from list_conversations.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=true. The description adds value beyond those: the confirmation-by-default behavior, the external-facing nature of the send, the auth requirement (Cotlet API key with app access), and the returned ID/time. This is meaningful disclosure that the annotations alone do not convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded and the sentences are short and largely functional. The first two sentences restate the same action ('Send a reply as you' vs 'Sends a message ... under your name'), a minor redundancy that keeps it from being maximally tight.

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 no output schema, the description correctly mentions the return payload (ID and time), and it covers auth, external reach, and confirmation behavior for a mutating tool. Little an agent needs to invoke it correctly is missing; only sibling-derived context (reading before replying) is absent.

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 both conversation_id and body are already documented in the schema (including 'Conversation ID from list_conversations'). The description adds no syntax or format detail for the parameters, so the baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb (send a reply) and resource (a Messages conversation), and clarifies it posts under the user's own name. An agent can distinguish this write/reply action from sibling readers like get_conversation and list_conversations without opening any schema.

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?

Provides explicit operational context: 'By default you confirm each call' and 'Reaches other people: confirm with the user before each call,' which tells the agent when extra care is needed. It stops short of naming alternatives (e.g., reading the conversation first via get_conversation), so it is clear context without full routing.

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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