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setAssistantConfig

Update assistant settings for a project: voice, realtime model, memory model, or session memory. Validates each value and shows cost impact before applying to the next session.

Instructions

Change a project's dashboard-managed "Agent" (assistant) settings via MCP — any of the OpenAI Realtime model, voice, memory (compaction) model, or within-session memory mode (PARTIAL update; pass only what you're changing). Validates each value against the catalog (call getAssistantConfig first to see valid ids) and echoes the COST IMPACT of a model change (per-1M rates, old → new) so a switch is never blind. GATED by the project's MCP access grant — the default is Read+Write so it works out of the box; the owner can restrict it per-project in the dashboard, and a permission_denied (403) means Assistant-config access was set to Read or Off. Requires a linked Extentos account (a 401 returns account_required, run extentos-mcp login). Applies to the next assistant session on BOTH platforms (a value set in app code still wins; Android picks it up in a fresh process, iOS on app relaunch). USE to configure a project's voice agent from the agent loop. DON'T USE to read current settings (use getAssistantConfig) or to set secrets (credentials are never written through the agent).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
voiceNoVoice id. Optional — pass only to change it.
appPackageYesThe app's package / bundle id (project_install_id).
realtimeModelNoOpenAI Realtime model id. Optional — pass only to change it.
compactionModelNoMemory (compaction) model id. Optional — pass only to change it.
withinSessionMemoryNoWithin-session memory mode. Optional — pass only to change it.
Behavior5/5

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

With no annotations, the description carries full burden and excels. It discloses partial update, validation against catalog, cost impact echo, access gating with default Read+Write, error codes meaning, linked account requirement, and cross-platform session application. No contradictions.

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?

The description is fairly long but well-structured. First sentence gives purpose and scope, then details validation, cost, gating, errors, platform effects, and usage guidance. Every sentence adds value; could be slightly tighter but efficiently conveys critical information.

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?

Given 5 parameters (4 enums), partial update, validation, cost impact, gated access, error conditions, and cross-platform behavior, the description covers all necessary context for correct invocation. No output schema, but return behavior is sufficiently described (errors, cost echo). Complete for a configuration mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (baseline 3). The description adds value by clarifying that parameters are optional for partial updates, advising to call getAssistantConfig first to see valid ids, and noting cost impact for model change. This goes beyond schema documentation.

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 it changes dashboard-managed agent settings (voice, realtime model, compaction model, within-session memory) via MCP. It distinguishes from getAssistantConfig (reading) and setCredential (secrets), and specifies partial update behavior. The verb 'Change' and resource 'dashboard-managed Agent settings' are specific and unambiguous.

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

Usage Guidelines5/5

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

The description explicitly tells when to use ('USE to configure a project's voice agent from the agent loop') and when not to use ('DON'T USE to read current settings (use getAssistantConfig) or to set secrets'). It also advises calling getAssistantConfig first to see valid ids, and mentions the gated access and error responses (401, 403) with instructions.

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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