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Onboard the workspace end-to-end: seeds the caller's assistant graph (name + optional tone/focus) and optionally applies an assistant-shape template. Idempotent — calling again returns the existing assistant, never a duplicate.

Input Schema

NameRequiredDescriptionDefault
nameYesAssistant's display name (1-40 chars)
specNoTemplate field values (requires template)
toneNoOptional persona tone for the seeded supervisor
focusNoWhat the assistant should spend attention on
templateNoOptional assistant shape from list_templates

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose two valuable traits — idempotency and that a repeat call returns the existing assistant rather than a duplicate — but says nothing about required permissions, what side effects beyond the graph seeding occur, or what the response contains.

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?

Two tight sentences with the core behavior front-loaded and the idempotency caveat placed second. No filler, though the 'end-to-end' phrasing is slightly vague and could be sharpened.

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?

For a 5-parameter mutation tool with a nested object and no output schema, the definition covers the primary effect and repeat-call behavior but leaves the breadth of 'end-to-end' onboarding undefined — for example whether credentials, nodes, or runs are also created.

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 coverage is 100%, so name/tone/focus/template/spec are all documented in the schema; the description only lightly paraphrases them ('name + optional tone/focus', 'optionally applies an assistant-shape template'). Baseline 3 is appropriate since the schema does the heavy lifting and the description adds little syntactical detail.

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 names a concrete action and resource ('seeds the caller's assistant graph') and clarifies scope ('onboard the workspace end-to-end'). It does not, however, differentiate itself from close siblings like create_graph or instantiate_template, which an agent might otherwise pick for the same goal.

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 implied by the onboarding framing and the idempotency note implicitly tells the agent that repeat calls are safe, but there is no explicit statement of when to prefer this over create_graph or instantiate_template, nor any mention of prerequisites.

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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