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End AI session

end_ai_session
Idempotent

Marks the current chat/tab AI Session as ended so it is no longer considered active or eligible for idle alerts.

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": {
      "ai_session_id": "<ai_session_id>"
    },
    "name": "end_ai_session"
  }
}

Input Schema

NameRequiredDescriptionDefault
workflow_idNo
ai_session_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare a non-read-only, non-destructive, idempotent, closed-world mutation, and the description is consistent with that. It adds real value by defining what 'ended' means — no longer active and no longer eligible for idle alerts — which is not derivable from the annotations. It stops short of saying whether the session can be resumed or what happens to its recorded actions.

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?

One sentence, front-loaded with the verb and resource, with the consequence attached. No filler and nothing to trim.

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

Completeness3/5

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

An output schema exists, so return values need no explanation, and annotations cover the safety profile. The gap is on the input side: with two undocumented parameters, the description never says how to identify the session to end, which is the main thing an agent needs to get right.

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% and neither ai_session_id (required) nor workflow_id is mentioned in the description. The phrase 'current chat/tab' hints that the session is implicit, which could even mislead an agent into omitting the required ai_session_id.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb (marks as ended) and resource (the current chat/tab AI Session), and clarifies the effect. It does not differentiate itself from nearby siblings such as start_ai_session or agent_stop, so an agent must infer that this one terminates the calling session rather than an arbitrary one.

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

Usage Guidelines3/5

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

Usage is only implied by 'current chat/tab AI Session' — an agent can guess this is for wrapping up its own session. There is no explicit when-to-use, no statement of preconditions, and no mention of alternatives like agent_stop or session_handoff.

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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