Skip to main content
Glama

What you get: an ENQUIRY with a human (not a purchase, not a guaranteed quote)

enquiry_describe

Read first. States plainly what submit_enquiry does on White label SEO marketing: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it explicitly states nothing is bought, ordered, or paid, that no quote is guaranteed, that it is free, and enumerates what the call returns (recipients, consent wording, confirmation method). That is meaningful disclosure for a read-only informational tool, though it does not discuss rate limits or side-effect absence in annotation terms.

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?

Three sentences, front-loaded with the imperative "Read first" and zero filler about return mechanics. The phrase "on White label SEO marketing" is slightly awkward and reads as boilerplate, costing a point.

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, so the description must convey returns, and it does: recipients of details, consent wording, and confirmation method. For a zero-parameter informational tool this is close to complete, with only minor gaps around format specifics.

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 takes zero parameters, so there are no semantics to explain; the baseline of 4 applies. Nothing in the description contradicts the empty schema.

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 makes clear this is an informational/read tool that explains what submit_enquiry does (starts an enquiry with human providers) and also returns recipient, consent wording, and confirmation details. It is distinguishable from siblings enquiry_fields and submit_enquiry, though the framing is oddly centered on the sibling tool rather than on itself, which slightly muddies the verb.

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?

"Read first" gives a clear sequencing instruction (use this before submit_enquiry), which is genuine usage guidance. It stops short of naming alternatives or explicitly stating when-not-to-use, so it falls just below the top mark.

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