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market_service

Get one observed machine service from the live Atinamos market registry by its canonical Atinamos service ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_idYes

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 full burden for behavioral disclosure. It communicates that the operation is a read-only 'Get' from a 'live' registry, which is useful, but it does not mention error behavior, freshness guarantees, authentication, or what happens when the ID is not found.

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?

The description is a single, front-loaded sentence with no filler. The only minor issue is redundancy: 'Atinamos' appears twice, and terms like 'observed' and 'live' may be jargon-heavy but are still informative.

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 simple one-parameter getter with an output schema, the description is mostly adequate. However, it does not clarify how this tool differs from 'get_service', and the terms 'observed machine service' are left undefined. The lack of annotations and alternative guidance creates a meaningful gap.

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?

Schema coverage is 0% and the schema only describes service_id as an integer. The description adds useful meaning by identifying it as the 'canonical Atinamos service ID', which is the key semantic needed to invoke the tool correctly. It could go slightly further by explaining what 'canonical' implies, but for a single parameter this is adequate.

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 states a specific action ('Get'), a specific resource ('one observed machine service'), and a lookup key ('canonical Atinamos service ID'). It clearly indicates a single-item retrieval rather than a list or search, though it does not explicitly differentiate itself from the sibling 'get_service'.

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 the appropriate use case: retrieve one service when you have its canonical Atinamos service ID. However, it gives no explicit guidance about when not to use this tool or how it compares to alternatives such as get_service or market_search.

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.

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