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Start Until Unanimous

session_start_unanimous

Launch background cross-review rounds until AI peers reach unanimity, hit max rounds, or exhaust budget. Evidence is durably stored and automatically sent to reviewers.

Instructions

Start real API generation/revision rounds in the background until unanimity, max_rounds or budget limit. AI evidence supplied in evidence is persisted durably and transported automatically; no manual operator attachment is required. v2.11.0: same caller + relator-lottery semantics as run_until_unanimous — see that tool for details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoship
taskYes
peersNo
callerNooperator
evidenceNoRaw evidence from the authenticated AI caller. It is persisted automatically as durable, SHA-256-addressed caller_submitted_unverified material and transported to reviewers; no manual operator attachment is required. Do not call session_attach_evidence for this routine path.
lead_peerNo
max_roundsNoHard review-round ceiling unless allow_auto_extension is explicitly true.
session_idNo
max_cost_usdNo
review_focusNoOptional provider-neutral review scope anchor. This is not Claude Code's /focus UI command; it is injected as a front-loaded Review Focus prompt block for every selected peer, including OUT OF SCOPE handling for unrelated findings.
initial_draftNo
until_stoppedNo
response_formatNojson
allow_auto_extensionNoOpt in to at most two evidence-only auto-extensions. False keeps max_rounds rigid.
reasoning_effort_overridesNoOptional per-peer reasoning_effort overrides for this call. Keys are peer ids (codex|claude|gemini|deepseek|grok|perplexity); missing keys fall back to global config. This is a shared scale: adapters normalize unsupported literals to the selected model's documented enum (`ultra` becomes max on GPT-5.6, Kimi K3 via Perplexity and DeepSeek, and xhigh on Grok 4.6; older GPT-5 families use their own ceilings).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv4.4.13
    • changedInput schema / properties / reasoning_effort_overrides / description
      Previous value: -"Optional per-peer reasoning_effort overrides for this call. Keys are peer ids (codex|claude|gemini|deepseek|grok|perplexity); missing keys fall back to global config. This is a shared scale: adapters normalize unsupported literals to the selected model's documented enum (`ultra` becomes max on GPT-5.6 and high on Grok 4.5; older GPT-5 families use their own ceilings)."New value: +"Optional per-peer reasoning_effort overrides for this call. Keys are peer ids (codex|claude|gemini|deepseek|grok|perplexity); missing keys fall back to global config. This is a shared scale: adapters normalize unsupported literals to the selected model's documented enum (`ultra` becomes max on GPT-5.6, Kimi K3 via Perplexity and DeepSeek, and xhigh on Grok 4.6; older GPT-5 families use their own ceilings)."
  2. Changed10 schema fields changedv4.4.9
    • addedInput schema / properties / allow_auto_extension
      Added value: +{
      +  "default": false,
      +  "description": "Opt in to at most two evidence-only auto-extensions. False keeps max_rounds rigid.",
      +  "type": "boolean"
      +}
    • addedInput schema / properties / evidence / description
      Added value: +"Raw evidence from the authenticated AI caller. It is persisted automatically as durable, SHA-256-addressed caller_submitted_unverified material and transported to reviewers; no manual operator attachment is required. Do not call session_attach_evidence for this routine path."
    • addedInput schema / properties / max_rounds / description
      Added value: +"Hard review-round ceiling unless allow_auto_extension is explicitly true."
    • changedInput schema / properties / reasoning_effort_overrides / description
      Previous value: -"Optional per-peer reasoning_effort overrides for this call. Keys are peer ids (codex|claude|gemini|deepseek|grok|perplexity); missing keys fall back to global config. Useful to dial down expensive peers (e.g. Grok grok-4.20-multi-agent xhigh = 16 agents, or Perplexity sonar-deep-research that bills citation + reasoning + search queries separately) for routine reviews without editing the host MCP configs."New value: +"Optional per-peer reasoning_effort overrides for this call. Keys are peer ids (codex|claude|gemini|deepseek|grok|perplexity); missing keys fall back to global config. This is a shared scale: adapters normalize unsupported literals to the selected model's documented enum (`ultra` becomes max on GPT-5.6 and high on Grok 4.5; older GPT-5 families use their own ceilings)."
    • changedInput schema / properties / reasoning_effort_overrides / properties / claude / enum
      Previous value: -[
      -  "none",
      -  "minimal",
      -  "low",
      -  "medium",
      -  "high",
      -  "xhigh",
      -  "max"
      -]New value: +[
      +  "none",
      +  "minimal",
      +  "low",
      +  "medium",
      +  "high",
      +  "xhigh",
      +  "max",
      +  "ultra"
      +]
    • changedInput schema / properties / reasoning_effort_overrides / properties / codex / enum
      Previous value: -[
      -  "none",
      -  "minimal",
      -  "low",
      -  "medium",
      -  "high",
      -  "xhigh",
      -  "max"
      -]New value: +[
      +  "none",
      +  "minimal",
      +  "low",
      +  "medium",
      +  "high",
      +  "xhigh",
      +  "max",
      +  "ultra"
      +]
    • changedInput schema / properties / reasoning_effort_overrides / properties / deepseek / enum
      Previous value: -[
      -  "none",
      -  "minimal",
      -  "low",
      -  "medium",
      -  "high",
      -  "xhigh",
      -  "max"
      -]New value: +[
      +  "none",
      +  "minimal",
      +  "low",
      +  "medium",
      +  "high",
      +  "xhigh",
      +  "max",
      +  "ultra"
      +]
    • changedInput schema / properties / reasoning_effort_overrides / properties / gemini / enum
      Previous value: -[
      -  "none",
      -  "minimal",
      -  "low",
      -  "medium",
      -  "high",
      -  "xhigh",
      -  "max"
      -]New value: +[
      +  "none",
      +  "minimal",
      +  "low",
      +  "medium",
      +  "high",
      +  "xhigh",
      +  "max",
      +  "ultra"
      +]
    • changedInput schema / properties / reasoning_effort_overrides / properties / grok / enum
      Previous value: -[
      -  "none",
      -  "minimal",
      -  "low",
      -  "medium",
      -  "high",
      -  "xhigh",
      -  "max"
      -]New value: +[
      +  "none",
      +  "minimal",
      +  "low",
      +  "medium",
      +  "high",
      +  "xhigh",
      +  "max",
      +  "ultra"
      +]
    • changedInput schema / properties / reasoning_effort_overrides / properties / perplexity / enum
      Previous value: -[
      -  "none",
      -  "minimal",
      -  "low",
      -  "medium",
      -  "high",
      -  "xhigh",
      -  "max"
      -]New value: +[
      +  "none",
      +  "minimal",
      +  "low",
      +  "medium",
      +  "high",
      +  "xhigh",
      +  "max",
      +  "ultra"
      +]
  3. First observedv4.4.8

TDQS

A3.8/5.0
Behavior4/5

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

Annotations are thin (readOnly=false, idempotent=false, destructive=false), so the description carries real weight and delivers: background execution with concrete stop conditions, evidence that is 'persisted durably and transported automatically,' and version-pinned semantics referencing run_until_unanimous. It stops short of warning that 'real API' rounds incur real cost or telling the caller how results are later retrieved.

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?

Three sentences with the purpose and stop conditions front-loaded in the first sentence. Sentence 2 partially duplicates the evidence schema description, and sentence 3 defers substance via 'see that tool for details' rather than explaining it, but there is no outright waste.

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?

A 15-parameter background-job starter with no output schema needs to state what it returns and how to monitor or cancel the job; the description mentions neither, forcing the agent to infer session_poll and session_cancel_job from sibling names. It is adequate for initiating the job but incomplete for the full lifecycle.

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?

With only 33% schema description coverage, the description should compensate for undocumented parameters, but it only addresses `evidence` (which the schema already describes in greater detail) and `caller` (deferred to run_until_unanimous). Ambiguous enums like mode ('ship' vs 'circular') and the roles of lead_peer, until_stopped, and max_cost_usd are left unexplained.

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?

The description opens with a specific action — 'Start real API generation/revision rounds in the background' — and names the three termination conditions (unanimity, max_rounds, budget limit). The 'background' qualifier hints at the distinction from the synchronous run_until_unanimous, but it never names session_start_round as the single-round alternative, so sibling differentiation is incomplete.

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?

The description positions this as the background variant and defers `caller` + relator-lottery semantics to run_until_unanimous, and the evidence parameter adds an explicit exclusion: 'Do not call session_attach_evidence for this routine path.' However, the tool never states when to prefer this over session_start_round or run_until_unanimous, leaving the when-to-use matrix partial.

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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