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phone_outboundCalls

Recent AI call attempts for the shop, newest first: purpose, status, why it was refused, each check's result, and transcript_missing when a call reached the AI but no transcript came back (read it with the shop's provider). Owner or office.

Input Schema

NameRequiredDescriptionDefault
shop_idYes

Output Schema

NameRequiredDescriptionDefault
callsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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 add real behavior: newest-first ordering, the exact result fields, the access restriction ('Owner or office'), and a non-obvious edge case — transcript_missing when a call reached the AI but no transcript returned, with the remedy of reading it via the shop's provider. It does not disclose pagination/limits or how many 'recent' calls are returned.

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?

One dense but front-loaded sentence: scope first, then returned fields, then the edge-case note. Every clause carries information, though the field enumeration borders on cramming.

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?

An output schema exists, yet the description still explains return semantics — mildly redundant but the transcript_missing caveat is genuinely useful behavior. What's missing is the boundary against phone_calls/phone_threads and any notion of result count or pagination.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description never mentions shop_id, so it adds nothing beyond the schema. With a single required, self-evident UUID parameter the cost is low, but it does not compensate for the coverage gap.

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?

States a specific resource and scope ('Recent AI call attempts for the shop, newest first') plus the fields surfaced, so the agent can tell this is a read of AI call-attempt history rather than general calls. It does not explicitly distinguish itself from siblings like phone_calls, phone_threads, or phone_voiceAi, which is what keeps it from a 5.

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?

'Owner or office' signals the access tier, which hints at when this is callable. However, there is no statement of when to pick this over phone_calls/phone_threads, no prerequisites, and no exclusion conditions — usage is implied rather than guided.

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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