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MisarReach MCP Server

get_sales_agent_config

Read-onlyIdempotent

Fetch the AI sales agent's current settings: whether it is enabled, its booking link, offer price, reply limits and confidence threshold.

Read this before update_sales_agent_config so you change one field without clobbering the rest, and to check whether the agent is enabled at all before expecting it to act.

Reads only, takes no parameters, changes nothing. Requires an API key. Returns the configuration for the authenticated account.

Input 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

A4.7/5.0
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent behavior, and the description adds an authentication requirement ('Requires an API key') and clarifies the return scope ('configuration for the authenticated account'). This adds meaningful context beyond the annotations without contradicting them.

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?

Three terse sentences front-load the purpose, then provide usage guidance and safety/auth notes. Every sentence earns its place with no redundancy or filler.

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?

For a parameterless read-only tool with strong annotations and no output schema, the description is complete: it states what is fetched, why to call it, that it is safe, and what the response pertains to.

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 has zero parameters, so the schema already covers everything; the description reinforces this by stating 'takes no parameters.' No additional parameter explanation is needed.

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 ('Fetch') and identifies the resource ('AI sales agent's current settings') while enumerating the exact fields returned. It clearly distinguishes itself from the sibling update_sales_agent_config tool.

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?

Explicitly instructs to read this tool before update_sales_agent_config to avoid clobbering fields and to verify whether the agent is enabled. This provides clear when-to-use guidance and names the relevant alternative.

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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