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model-council-mcp-codex

by tsarihan

ask_council_async

Run a council of AI models in the background and get a job ID instantly, then fetch the synthesized answer later when ready.

Instructions

Start a council run in the background and return a job_id immediately, so a long deconfliction/dialectic run (or a slow local model) does not block. Same inputs as ask_council (mode, context, files, etc.). Poll get_council_result with the job_id to fetch the answer when ready. Jobs are in-memory and do not survive a server reload.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoResponse mode override for this call only.
filesNoOptional local file paths to read and attach as labelled context.
imagesNoOptional local image paths — same vision-routing behavior as ask_council.
contextNoOptional background text prepended to the question for every member.
git_refNoAuto-attach a local git diff as context — same behavior as ask_council.
verboseNoInclude per-round / raw member detail.
git_repoNoRepo directory to run git_ref in. Defaults to the working directory.
questionYesThe question or prompt to send to all council members.
full_repo_accessNoWARNING: grants repo-wide read access to claude-cli/codex-cli members — same behavior as ask_council.
reasoning_effortNoReasoning depth for every member and the judge, for this call only — same per-backend clamping behavior as ask_council.
max_deconflict_roundsNoMax deconfliction rounds override for this call only.
Behavior5/5

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

The description discloses the in-memory nature and lifecycle ('Jobs are in-memory and do not survive a server reload'), which is critical behavioral context beyond the minimal annotations. It also clarifies the return behavior (job_id) and that it's non-blocking.

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?

Three sentences, with the primary action stated upfront. Each sentence adds distinct information: purpose, input compatibility, and fetch mechanism, plus a caveat. No redundant phrasing.

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?

The description covers the full workflow: start background job, get job_id, poll result, and job lifetime. It references sibling tools for parameter details and result retrieval, which is sufficient given the schema and sibling context. Minor omission of error handling or timeout behavior, but not critical.

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?

The schema already covers all 11 parameters with descriptions (100% coverage), so the description doesn't need to repeat them. It adds value by stating 'Same inputs as ask_council', which informs the agent that parameter behavior is consistent with a known sibling. No additional semantics are provided.

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 clearly states the tool 'Start a council run in the background and return a job_id immediately', identifying the specific verb and resource. It also differentiates from siblings by referencing ask_council for synchronous behavior and get_council_result for polling.

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 explains when to use it: 'so a long deconfliction/dialectic run (or a slow local model) does not block', providing a clear use case. It also instructs how to retrieve results: 'Poll get_council_result with the job_id'. It doesn't explicitly state exclusions, but the context is clear.

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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