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Glama

Get one node

get_node
Read-onlyIdempotent

Vet an AI inference provider by node_id: retrieve operator, regions, endpoints, hardware, trust history, probe availability, and offerings with context window and price. Use before relying on it.

Instructions

Who runs a node and how it has behaved: operator, country and regions, endpoints, declared hardware, trust tier and its history (verifications, suspensions, reinstatements, with reasons), recent registry probe results with an availability summary, and its offerings with context window and price. Use it to vet a provider before relying on it; take node_id from search_offerings, recommend or get_offering results. For one offering's full card, use get_offering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idYesReverse-DNS node id, e.g. "io.opennodes.demo-node" or "import.openrouter.ai".
offering_limitNoMaximum offerings to list; imported catalogs can hold hundreds. `offerings_total` always gives the full count.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.2

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/openWorld, so the safety profile is covered. The description goes beyond them by disclosing the returned payload in detail — trust-tier history with reasons, probe results with an availability summary, offerings with window and price — which is the useful behavioral context here since there is no output schema. It does not mention auth requirements or result-size limits, so it stops short of a 5.

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?

Front-loaded with the payload inventory, then usage and the sibling pointer, in two sentences with no filler. The first sentence is a dense compound list, but every clause names a returned field and earns its place.

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?

No output schema exists, so the description carries the full burden of describing returns — and it does so comprehensively while also routing to sibling tools. An agent has everything needed to call it correctly.

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 both parameters (node_id format, offering_limit cap) are fully documented in the schema. The description adds only the provenance of node_id, which the schema does not state — marginal but real value, so the baseline 3 holds.

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?

States a specific verb+resource (get one node) and then enumerates exactly what the record exposes: operator, regions, endpoints, hardware, trust tier and its history, probe results, offerings. It also names the sibling it is not (get_offering) so an agent can distinguish it without opening a schema.

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?

Explicit when-to-use ("vet a provider before relying on it"), an explicit input source ("take node_id from search_offerings, recommend or get_offering results"), and an explicit alternative for the adjacent case ("For one offering's full card, use get_offering"). Nothing is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.