Skip to main content
Glama

Entervista

Get service requirements

get_service_requirements
Read-onlyIdempotent

Before creating a request: the exact questions to ask the customer for this service (required_fields / optional_fields, each with type and options), the pricing flow, and what happens next.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
service_skuYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds useful context the annotations cannot: that the response enumerates the exact fields to ask the customer, their types/options, the pricing flow, and the follow-up steps. With no output schema, this return-shape disclosure carries real weight.

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?

One densely packed sentence with the usage cue front-loaded and zero filler. It is efficient, though the parenthetical enumeration of return fields makes it slightly harder to scan than a purely front-loaded statement.

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?

With no output schema, the description sensibly explains what comes back, and it conveys the pre-request purpose. The remaining gap is input-side: two required, undocumented parameters are left ambiguous, which matters for a lookup keyed on identifiers.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and neither parameter (slug, service_sku) is explained anywhere. The phrase "for this service" hints that the params identify a service, but it gives no indication of why both a slug and a service_sku are required or where each comes from, so the description fails to compensate for the documentation gap.

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 concrete resource (the questions/requirements for a specific service) and what payload it returns (required_fields/optional_fields with type and options, plus pricing flow and next steps). It reads as a read/lookup tool and is distinguishable from get_services (which lists services) and place_service_request (which consumes these requirements), though it never names those siblings explicitly.

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?

"Before creating a request" gives a clear temporal trigger that maps onto the sibling place_service_request, so an agent knows the ordering. It does not, however, state any exclusions or name the alternative tools directly, so it stops short of full when/when-not guidance.

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