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list_services

List services currently available from the Atinamos Agent Shop.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output 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

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. 'List services currently available' implies a read-only, filtered snapshot, which is a useful behavioral trait. However, it does not mention pagination, ordering, or whether authentication is required, leaving some room for ambiguity.

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?

The description is one concise sentence with no filler or redundant phrasing. Every word adds meaning: 'List', 'services', 'currently available', and 'Atinamos Agent Shop' all contribute to scoping the operation.

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 parameterless listing tool with an output schema, the description is nearly complete. It names the resource and scope, but it could be more complete by indicating how it relates to sibling tools like market_search, which likely overlaps in purpose.

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, so the description doesn't need to document any. The schema coverage is trivially 100%, and the baseline for no-parameter tools is 4.

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 is clear and specific: it uses the verb 'List' with the resource 'services' and a scope qualifier ('currently available from the Atinamos Agent Shop'). It distinguishes itself from get_service and invoke_service by implying a bulk, read-only listing operation, though it does not explicitly differentiate from market_search or market_service.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool instead of the siblings, such as get_service or market_search. The phrase 'currently available' hints at freshness, but no explicit context or exclusions are given, leaving the agent to infer when this is the right tool.

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

A3.7/5.0
Disambiguation4/5

The live Agent Shop tools (get_service, list_services, invoke_service) are clearly distinct, and the market tools (market_search, market_service) are also separated by search vs. direct lookup. There is mild potential confusion between get_service and market_service since both retrieve a single service, but their differing sources and identifiers make them distinguishable.

Naming Consistency3/5

get_service, list_services, and invoke_service follow a clear verb_noun pattern. market_search and market_service break that pattern by using a domain noun plus an action/object, making the naming convention somewhat mixed but still readable and predictable within each subgroup.

Tool Count5/5

Five tools is well-scoped for an Agent Shop that covers both catalogue access and market observation. Each tool serves a distinct purpose without redundancy or bloat.

Completeness5/5

The tool surface covers the core workflows: discovering services, retrieving definitions, preparing paid invocations, searching the market, and looking up market records. No obvious lifecycle operations are missing because this is a read-oriented shop interface rather than a management API.

Resources