Skip to main content
Glama

The questions the enquiry asks

enquiry_fields

Every field of the Hydraulic Repair Quotes enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it discloses the output content well by enumerating exactly what fields will be present. It implicitly communicates a read-only metadata lookup and connects the returned keys to the submit_enquiry workflow. It does not explicitly state that there are no side effects, but the framing and parameterless schema make that clear.

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 sentences, no filler. The first sentence front-loads the tool's purpose and lists the returned content compactly; the second sentence gives actionable follow-up guidance. Every clause earns its place.

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 zero-parameter tool with no output schema, the description covers the essential return content and hints at the integration with submit_enquiry. It could be slightly more explicit about the response shape (e.g., object vs list) and its relationship to enquiry_describe, but overall it gives an agent enough to invoke and use the result correctly.

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 schema already fully describes the accepted input; baseline for 0 params is 4. The description adds relevant semantics by explaining that the returned keys are meant to be used as keys for submit_enquiry answers, which helps an agent apply the output correctly.

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 clearly identifies the resource ('Every field of the Hydraulic Repair Quotes enquiry') and enumerates the returned attributes: key, label, type, required, help text, allowed options. It lacks an explicit verb like 'retrieves' or 'lists', and does not differentiate itself from the sibling enquiry_describe, but the resource and content are unmistakable.

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?

The description gives an explicit downstream usage instruction: 'Pass answers to submit_enquiry keyed by field key.' This clearly tells an agent how to use the result. It does not discuss when to avoid this tool or choose enquiry_describe, but for a zero-parameter metadata retriever this is solid contextual 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