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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 Hindi AI Trainer Jobs: 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

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
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 does real work: it states that nothing is bought or paid, that no quote is guaranteed, that it is free, and what specifically is returned (recipient list, consent wording, confirmation flow). That is meaningful behavioral disclosure for a zero-parameter informational 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?

Front-loads 'Read first', which is good, but the three sentences are partly redundant: 'Nothing is bought, ordered or paid' and 'it is free' restate the same point already carried by the title's 'not a purchase, not a guaranteed quote'. Tightening to two sentences would lose nothing.

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 parameterless, annotation-free informational tool with no output schema, the description still names the return payload (recipients, consent wording, confirmation). Missing only guidance on when this is redundant versus enquiry_fields, but an agent can call it 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 takes zero parameters, so the baseline is 4 per the rubric; nothing in the description conflicts with 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 says it plainly states what submit_enquiry does, and enumerates the returned content (recipient of details, consent wording, confirmation method), so an agent knows it is an informational/read tool. It does not distinguish itself from the sibling enquiry_fields, which likely also describes the enquiry, leaving some ambiguity between the two read siblings.

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' is an explicit sequencing instruction relative to submit_enquiry, and the description clarifies what this tool is not (a purchase, an order, a guaranteed quote). No explicit exclusion against the other read siblings such as enquiry_fields or compare_criteria, so 4 rather than 5.

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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