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List services

hostfully_list_services
Read-only

List the services an agency offers or schedules (cleaning, transportation, greeting, cooking, tours ...), with provider, price and duration. A service UID is what hostfully_create_job needs. Hostfully: GET /api/v3.3/services.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agency_uidNoAgency UID. Defaults to HOSTFULLY_AGENCY_UID; hostfully_list_agencies lists the options.
catered_toNoWho the service is for.
service_provider_uidNoOnly services of this provider.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, so safety is already covered. The description adds real context beyond that: the kinds of services returned, the fields present in results, and the cross-tool dependency on the service UID. It omits pagination and default scoping behavior, keeping it from 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two front-loaded sentences plus an endpoint reference, with zero filler. The list contents are stated before the create_job linkage, so the most important information comes first.

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?

There is no output schema, and the description partly compensates by naming the returned service attributes. It lacks pagination or scope notes for a list endpoint, but for a three-parameter, all-optional read tool it is close to sufficient.

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 all three parameters (agency_uid, catered_to, service_provider_uid) are already documented in the schema. The description adds no syntax, defaults, or filtering semantics beyond what the schema states; baseline 3 applies.

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?

Specific verb+resource ('List the services an agency offers or schedules') with concrete examples (cleaning, transportation, greeting, cooking, tours) and the returned fields (provider, price, duration). This clearly separates it from sibling list tools like hostfully_list_jobs or hostfully_list_orders.

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?

It supplies a concrete downstream use case: the service UID is what hostfully_create_job needs, which tells the agent when to reach for this tool. It does not state when not to use it or name an alternative listing tool, so it stops short of a 5.

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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