Skip to main content
Glama

Add Check-in

add_check_in
Idempotent

Watch a job that runs on a schedule and alert the user when it stops running. Returns a URL. Add && curl -fsS <pingUrl> to the END of the user's command, joined with && so it only runs when the job succeeded. Never use ; — that reports success even when the job failed. After you have wired it up, run the job once and call get_check_in to confirm the first check-in arrived. Do not tell the user it is set up until you have confirmed it.

Input Schema

NameRequiredDescriptionDefault
nameYesDisplay name for the scheduled job
everyYesHow often this job should finish successfully

Output Schema

NameRequiredDescriptionDefault
nameYes
everyYes
statusYes
pingUrlNoBearer write URL; omitted for read-only connections
checkInIdYes
lateSinceYes
pingCommandNo
lastCheckInAtYes
alreadyExistedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations declare readOnly=false, idempotent=true, destructive=false and openWorld=false, so safety is largely covered. The description still adds real behavioral value: the tool returns a ping URL and the exact shell-idiom required to wire it up, plus a verification requirement before claiming success. It does not, however, discuss failure/auth edge cases beyond the wiring caution.

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 ordering from wiring to verification. Every sentence is functional — the `&&` vs `;` rule and the confirm-before-claiming rule are load-bearing. Slightly dense across several imperatives but no 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 create/monitor mutation tool with an output schema present, the definition covers the full lifecycle: what it sets up, what it returns, how to wire it into the user's command, and how to confirm. Nothing an agent needs to call it correctly is missing.

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 both params (name, every) are documented there, so the schema carries the semantics. The description implies the schedule concept ('runs on a schedule') and the 'every' enum window of a successful finish, but adds no syntax or constraint detail beyond what the schema already states — 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?

Opens with a precise verb+resource+outcome: watch a scheduled job and alert the user when it stops running. It also names the sibling get_check_in for verification, so an agent can distinguish this setup tool from the check-in read tools (get_check_in, list_check_ins, remove_check_in) without opening a schema.

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?

Gives explicit, actionable when-to-use guidance: append `&& curl -fsS <pingUrl>` to the end of the command, never use `;`, then run the job once and call get_check_in before telling the user it is set up. This is unambiguous routing and sequencing, not inference.

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.