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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 SEO company for small business: 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

B3.3/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose meaningful behavioral context: nothing is bought or paid, no quote is guaranteed, it is free, and it returns recipient/consent/confirmation content. It does not state side-effect-free/read-only status explicitly, nor error or failure behavior, so coverage is partial for a zero-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

It is short, and the 'Read first' warning is front-loaded. But the middle clause ('States plainly what submit_enquiry does on SEO company for small business') is awkward, mixes the sibling's function into this tool's description, and reads like injected filler rather than earning 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?

With no output schema and no annotations, the description must cover both purpose and return content, and it does name the returned material (who receives details, consent wording, confirmation process) plus the non-purchase guarantees. That is sufficient for a simple zero-param informational tool, though it stops short of describing output structure.

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 the baseline is 4 and there is no parameter semantics to add. The description correctly implies no input is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description frames the tool as an explanatory/informational resource ('states plainly what submit_enquiry does... also returns who receives the details, the consent wording, and how the person confirms'), so an agent can infer it returns documentation rather than performing an action. However, the phrasing is convoluted and describes the sibling's behavior as much as its own, and it never contrasts itself with enquiry_fields or submit_enquiry by name. Purpose is discernible but not stated as a clean verb+resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Read first' gives a sequencing hint that this should be consulted before submit_enquiry, which is genuine usage guidance. But there are no explicit when-not conditions and no routing between this tool and enquiry_fields, so the agent must infer the workflow.

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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