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Open a session at the Closelooknet table

open_session

Opens a multi-turn research session (private beta, free) with a moderator and the Closelooknet research seat. Give the whole task; returns a session_id. Then use session_message to ask research questions. Questions that need a personal recommendation move the session to advice_required (no licensed advisor is connected yet). Not investment advice.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "task": "<task>"
    },
    "name": "open_session"
  }
}

Input Schema

NameRequiredDescriptionDefault
taskYesThe whole task, 3–1,000 characters

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that this is a private-beta free session, that a moderator and research seat are involved, that it returns a `session_id`, and that recommendation-seeking questions transition the session to `advice_required`. The non-read-only annotation is consistent with session creation, though session lifetime or persistence behavior is not described.

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 and front-loaded: the core action and return value appear immediately, followed by the next-step tool and one important state transition. Every sentence adds practical guidance without repetition.

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

Completeness5/5

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

For a one-parameter session-creation tool with no output schema, the description is complete: it explains the required input, the returned `session_id`, the next tool to call, and the `advice_required` behavior. Nothing essential for correct invocation appears missing.

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 description coverage is 100%, and the single `task` parameter is already documented as the whole task with its 3–1,000 character constraint. The description reinforces “Give the whole task” but does not add new semantic detail 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?

The description uses a specific verb and resource: it “Opens a multi-turn research session” with a moderator and the Closelooknet research seat. It also names the follow-up sibling `session_message` and states the return value (`session_id`), so an agent can distinguish it from `session_message` and other session-related tools without opening schemas.

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 gives clear usage sequencing: supply the whole task here, then use `session_message` to ask research questions. It also explains the condition that moves a session to `advice_required`, but it does not state explicit when-not-to-use conditions for `open_session` itself.

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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