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list_systems

List ANAMIZED systems (YodMCP, OpenGOS, RUI, Edge-OS, kernels) and the offers on each.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It clearly states that the tool performs a listing operation, which implies read-only behavior. It does not disclose details like output shape, ordering, pagination, or whether offers are full objects or summaries, but these are not critical for a simple zero-parameter list.

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?

A single, dense sentence that leads with the action and resource, followed by the key qualifier about offers. No filler or redundancy; every word adds meaning.

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?

For a tool with no parameters and no output schema, the description provides enough for an agent to invoke it: it states the domain (ANAMIZED systems) and the expected content (systems and their offers). It does not explain the format of the offers or the meaning of 'ANAMIZED', but those details would not prevent a correct call.

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?

The tool has zero parameters, and with schema coverage at 100% (vacuously), there is no parameter information for the description to augment. The baseline of 4 applies, and the description needs no further parameter detail.

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 uses a specific verb ('List') and identifies a clear resource: ANAMIZED systems, enumerating the concrete system families (YodMCP, OpenGOS, RUI, Edge-OS, kernels) and their offers. This makes it easily distinguishable from sibling list tools like list_agents or list_offers by scope alone.

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?

The description implies usage: when you need to see systems and their offers. However, it does not explicitly state when to use this over alternatives such as list_offers or list_mcp_servers, nor does it mention any exclusions or prerequisites. Usage context is inferred rather than stated directly.

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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TDQS

C2.9/5.0
Disambiguation2/5

Several tools cluster around the same action: checkout_link and get_offer both return Stripe checkout URLs, list_offers/list_rack/list_systems/search_catalog overlap as catalog listings, and run_rack/constellation_run/swarm_run all trigger credit-spending cycles. The floor_* family is clear, but too many near-duplicate listing and run endpoints create real misselection risk.

Naming Consistency3/5

Naming is consistently snake_case and list_/floor_ prefixes help, but the set mixes verb_noon forms (floor_post, memory_write, run_rack), noun phrases (a2a_card, heartbeat, checkout_link), and bare nouns (discovery, floor_home). Still readable overall, but there is no single predictable naming pattern.

Tool Count2/5

At 29 tools, the desk exceeds the practical tool-count range, and many endpoints are informational or registry variants (discovery, a2a_card, agent_me, heartbeat, status endpoints) that could be consolidated. Even though the platform is broad, the set would be more coherent around 15-20 tools.

Completeness3/5

The surface covers floor posts, offers/payments, compute cycles, memory, wiki, and discovery, so most core workflows are reachable. However, there are noticeable gaps: no delete/edit for floor posts, no memory delete, no agent claim/unregister after register_agent, and no product lifecycle tools. Agents can work around some gaps, but the domain is not fully closed.