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request_contact

Relay a real person's request for human contact (sales question, demo, enterprise) to the Measure Tech PRO team. Nothing sends until a reply channel is given — an email or phone number the PERSON provided. Rate-limited, and capped per connection per day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesWho is asking
emailNoTheir reply email — theirs, given by them
phoneNoTheir phone, if they prefer a call
messageYesWhat they want, in their words

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?

Annotations already declare the write profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false). The description adds genuine non-schema behavior: a hard send gate on reply-channel presence, plus rate limiting and a per-connection daily cap. It stops short of naming the cap or the outcome after sending.

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 tight sentences with zero filler, front-loading what the tool does and then the send precondition and rate limits in descending order of importance.

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 mutation tool with no output schema, the description covers purpose, precondition, and rate-limit behavior — enough for an agent to call it correctly. It omits what the caller gets back (confirmation vs. ticket id) and any auth/permission requirement, which are minor but real gaps.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not encode: the reply channel must be supplied by the person themselves, and email-or-phone effectively gates the call even though the schema marks only name and message as required. That is real semantic value beyond the field docs.

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 names a specific verb (relay) and resource (a person's request for human contact), plus the destination (Measure Tech PRO team) and the triggering categories (sales question, demo, enterprise). That is clear enough to distinguish it from most siblings, though it never explicitly contrasts with near-neighbors like join_waitlist or post_feature_request.

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?

It states the operative precondition clearly — nothing is sent until a reply channel (person-provided email or phone) exists — which tells the agent when the tool can legitimately fire. There is no explicit guidance on when to prefer this tool over join_waitlist or get_pricing, so it falls short of a full when/when-not/alternative statement.

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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