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AgentsPodium Hosting

create_instance

Create (deploy) a new AgentsPodium instance. Returns the instance id and, when enableA2A is true, the a2aUrl and a2aToken the caller should keep. After creating, poll instance_health until it is serving, then call set_llm_key to give it a working LLM key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoDisplay name for the instance.
tierYesHosting plan controlling RAM/CPU/disk. See list_platforms for prices.
modelNoDefault LLM model id for the engine.
domainNoCustomer-owned domain to serve the instance from.
engineNoRuntime engine id (e.g. hermes, openclaw, n8n). See list_platforms for what's available.hermes
channelsNoChannels to enable (web, telegram, ...).
enableA2ANoTurn on the A2A toolset and issue an a2aUrl/a2aToken for this instance.
extraSoulNoExtra system-prompt instructions appended to the persona.
personaIdNoPersona/template id from list_platforms; defaults to the general-purpose persona.personal-assistant

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

There are no annotations, so the description carries the full behavioral burden. It discloses that the instance id is returned, that a2aUrl/a2aToken are only returned when enableA2A is true, and that the instance is not immediately usable until health polls succeed and an LLM key is set. This meaningfully reveals post-creation behavior that an agent could not infer from the schema alone.

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 short sentences each earn their place: the first states the action and resource, the second covers return values, and the third gives the required follow-up workflow. Information is front-loaded and there is no filler or repetition of schema details.

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?

With no output schema, the description compensates by specifying exactly what the caller receives. It also accounts for the operational complexity of provisioning by naming the required next steps (instance_health polling and set_llm_key), making the tool realistically actionable for an agent despite having nine parameters.

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 schema already documents all nine parameters. The description adds little beyond what the schema states, aside from echoing the conditional a2aUrl/a2aToken behavior for enableA2A, which the schema already covers. Baseline 3 is appropriate.

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 opens with 'Create (deploy) a new AgentsPodium instance,' a specific verb plus resource that clearly states the action. It is naturally distinct from the sibling lifecycle tools (delete_instance, pause_instance, instance_health, set_llm_key), so an agent can tell them apart without opening schemas.

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 provides clear lifecycle context by instructing the agent to poll instance_health after creation and then call set_llm_key, effectively positioning create_instance as the initial provisioning step. It does not explicitly state when not to use this tool or compare it against alternatives, but the workflow guidance is sufficiently 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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