METODIC

Save session debrief

add_debrief

Save a post-session DEBRIEF onto the session in Metodic: how it went, what worked, what to improve, follow-ups. Call after the user has run their workshop and tells you how it went (or after a debrief conversation) — synthesize first, then save. Debriefs accumulate on the session; nothing is overwritten.

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": {
      "session_id": "<session_id>",
      "notes": "<notes>"
    },
    "name": "add_debrief"
  }
}

Input Schema

Name	Required	Description
`notes`	Yes	The debrief synthesis — how the session actually went.
`rating`	No	Overall 1-5.
`went_well`	No	Things that worked.
`follow_ups`	No	Actions owed after the session.
`session_id`	Yes	The Metodic session (toolkit) id.
`to_improve`	No	Things to change next time.

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 4, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, so the write profile is known. The description adds meaningful behavioral context beyond that: debriefs accumulate and nothing is overwritten, which clarifies the append semantics that idempotentHint=false alone would leave ambiguous.

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?

Front-loads the action and resource, then the content categories, then the timing instruction. No filler sentences; every clause carries selection or invocation value.

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?

Covers purpose, trigger, and accumulation semantics for a mutation tool with six parameters and no output schema. It doesn't state what the call returns or how the appended debrief is identified, a minor gap rather than a blocking one.

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%, so the baseline is 3. The description's content list (how it went, what worked, what to improve, follow-ups) loosely maps to notes/went_well/to_improve/follow_ups, but adds no format, syntax, or rating guidance 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?

Specific verb (save) + resource (debrief onto a session in Metodic) with a content breakdown (how it went, what worked, what to improve, follow-ups). No sibling tool covers debriefs, so this is clearly distinguishable from the session-design/generation siblings.

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?

Gives explicit trigger conditions: after the user has run their workshop and reported back, or after a debrief conversation, with a sequencing instruction ('synthesize first, then save'). No when-not guidance or named alternative, but no obvious alternative exists among the siblings.

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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