Skip to main content
Glama

GrowVib - Social Media Growth

get_service

Read-onlyIdempotent

Look up ONE service you already have the id for. No id yet? Find one with search_catalog. Want a single option chosen for a quantity rather than all of them? Use recommend_service. Returns the service's full detail, including ALL of its plan options (id, name, price per 1000, min/max quantity, quality tier, typed axes such as country or watch length, listed delivery speed and start window, and the recommended flag), so you can present the available plans and quantity range to the user, then pass the chosen service_option_id to get_quote and create_paid_order (this endpoint lists it while the accountless x402 payment channel is on), or create_checkout when a person will pay in their own wallet instead (listed while checkout sessions are on).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_idYesThe service id from search_catalog.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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, non-destructive, closed-world, so the safety bar is pre-cleared. The description adds real value beyond that: it enumerates the returned payload (all plan options with price per 1000, min/max quantity, quality tier, typed axes, delivery speed, recommended flag) and notes the conditional availability of the x402 and checkout flows. It stops short of pagination or size/rate limits, so not 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 core action and the two alternatives, then the return payload, then downstream routing. Every sentence carries information, though the parenthetical conditionals about which endpoints are 'listed' make the tail dense and slightly harder to scan than necessary.

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?

With no output schema, the description fully compensates by detailing exactly what is returned (plan-level fields and the recommended flag) and how to use the result downstream. An agent has everything needed to call this correctly and interpret the response.

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?

Only one parameter and schema description coverage is 100%, so the schema already defines service_id and its origin ('from search_catalog'). The description reinforces this ('you already have the id for') but adds no format, validation, or edge-case detail beyond the schema, matching the baseline 3 for a fully covered schema.

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 and resource ('Look up ONE service') and immediately scopes it to a known id. It explicitly differentiates itself from search_catalog (when no id exists) and recommend_service (when a single option is wanted), so an agent can pick 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?

Gives explicit when-to-use routing ('No id yet? Find one with search_catalog', 'Want a single option...? Use recommend_service') and names the downstream consumers of the returned service_option_id (get_quote, create_paid_order, create_checkout). Nothing about selection 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.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources