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Sync by CHNLSYNC

Request a human broker callback

request_broker_callback

Ask a CHNLSYNC human broker to contact the user about their case.

Only call this with the user's explicit consent to share their name and email with CHNLSYNC. Requires the session credentials returned by ask_sync_advisor. The result's book_url is an optional scheduling link you may offer the user as a next step ("pick a time now"); the callback is already queued and a broker will reach out either way, so never present booking as required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
contact_nameYes
contact_emailYes
session_tokenYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

The description discloses key behavioral traits beyond annotations: the callback is already queued, a broker will reach out regardless of booking, and the book_url is optional. It also discloses the privacy-sensitive side effect of sharing the user's name and email with CHNLSYNC.

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?

The description is concise and front-loaded with the core purpose, followed by necessary preconditions and result-handling guidance. Each sentence adds actionable information with no filler or repetition of the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is complete for a tool with a visible output schema and minimal annotations: it covers purpose, prerequisites, consent requirements, side effects, and how to handle the result. No critical operational detail is missing for an agent to invoke this 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?

Schema description coverage is 0%, so the description must compensate for all four parameters. It effectively does so by mapping session_id/session_token to 'session credentials returned by ask_sync_advisor' and contact_name/contact_email to the name and email shared with consent. It does not name the parameters explicitly, but the mapping is clear enough.

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

Purpose5/5

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

The description uses a specific verb and resource: 'Ask a CHNLSYNC human broker to contact the user.' It clearly differentiates this from ask_sync_advisor by stating that it requires the session credentials returned by that sibling, making the workflow relationship explicit.

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

Usage Guidelines5/5

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

The description gives explicit conditions: only call with the user's explicit consent, and only after obtaining credentials from ask_sync_advisor. It also instructs the agent not to present the booking link as required, which prevents a common misuse of the tool.

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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TDQS

A4.7/5.0
Disambiguation5/5

Each tool covers a clearly separate function: advisor conversation, deterministic data lookup, and broker callback request. There is no realistic overlap because the advisor tool is conversational, the data tool is read-only, and the callback tool requires explicit consent plus session credentials.

Naming Consistency5/5

All tool names follow the same verb_object snake_case pattern: ask_sync_advisor, check_copper_retirement, request_broker_callback. The convention is consistent and predictable across the entire set.

Tool Count5/5

Three tools is well-scoped for this server's narrow purpose: educate with data, consult with an advisor, and escalate to a human broker. Each tool earns its place and none feel redundant or extraneous.

Completeness5/5

The tool set covers the full intended lifecycle: lookup relevant retirement status, have an advisor conversation, and request a broker callback with session continuity. There are no obvious dead ends or missing operations for the domain expressed by the tools.

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