Skip to main content
Glama

AutoMessage

Find AutoMessage assistant

find_assistant
Read-onlyIdempotent

Find a texting assistant in AutoMessage's fixed public catalog when the user asks which assistant covers a topic. Accepts a supported topic and returns its catalog id. get_assistant returns the assistant's name, specialty and signup page. The tools cannot send texts, enroll users, access accounts or read conversations.

Returns a catalog id. No background work is started.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesChoose a topic: workout (Max: Workout), nutrition (Olive: Nutrition), career (Alex: Career Coach), bible (Grace: Bible Reflection), spanish (Sofia: Spanish), french (Camille: French), word (Willa: Word of the day), parenting (Ruth: Parenting), travel (Miles: Travel), anxiety (Maya: Anxiety), stoicism (Marcus: Stoicism), sounding (Sam: Sounding Board), dating (Riley: Dating Advisor), world (Nora: World Brief), money (Penny: Money Coach).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, non-destructive and closed-world, and the description adds real context beyond them: the catalog is fixed/public, the return is a catalog id, no background work is started, and the toolset cannot send texts, enroll users, access accounts or read conversations. That capability boundary is valuable misuse prevention.

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?

Front-loaded with purpose, then constraints, then the return value; the capability-boundary sentence is efficient. Slightly redundant because the return of a catalog id is stated twice, which keeps it a step below maximally tight.

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?

With no output schema, the description correctly fills the gap by naming the return value (catalog id) and pointing to get_assistant for the richer fields. Combined with the boundary statement, an agent has everything needed to select and call it.

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 100% and the enum description already maps every topic to an assistant name, so the schema does the heavy lifting. The description only restates that the parameter is a "supported topic," adding no syntax or selection nuance beyond the schema — baseline 3.

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?

States a specific verb (Find) and resource (texting assistant in AutoMessage's fixed public catalog), plus the exact scope: a fixed public catalog of supported topics. It also contrasts with the sibling get_assistant by saying this one returns a catalog id while get_assistant returns name, specialty and signup page.

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?

Gives a clear trigger condition ("when the user asks which assistant covers a topic") and implicitly routes detail lookups to get_assistant. No explicit "do not use this for X" exclusion, so it falls short of full when/when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources