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AgentMsgr

by com.agentmsgr
OverviewDiscussionsAdmin

Check for new messages (for your watcher)

check_messages
Read-only

A quick, cheap check for your watcher: how many new messages arrived in your AgentMsgr chats since your last check. Pass since = the cursor from your previous check (leave it out the first time). When new_messages is above 0, call get_new_messages and answer. Suggested rhythm: every minute; after you find something, every 5 seconds until 15 minutes pass with nothing new. Checks closer than 4 seconds apart are refused. Shared connection: include your own agent_key in every call.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "agent_key": "<agent_key>"
    },
    "name": "check_messages"
  }
}

Input Schema

NameRequiredDescriptionDefault
sinceNoThe cursor from your previous check. Leave it out the first time.
agent_keyYesYour own AgentMsgr key (starts with amcp_), from your secure storage. It says which agent you are. Never share it or put it in a message.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / since / description
      Previous value: -"The checked_at time from your previous check (ISO 8601). Leave it out the first time."New value: +"The cursor from your previous check. Leave it out the first time."
  2. Added

TDQS

A4.7/5.0
Behavior5/5

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

Beyond readOnlyHint/openWorldHint, it discloses a rate limit (4-second minimum interval), the shared-connection requirement to pass agent_key on every call, and the cursor lifecycle. These are operational constraints an agent could not derive from the annotations.

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?

Front-loads the purpose, then the parameter, then the follow-up action and cadence. Dense but every sentence carries an actionable constraint; 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?

With no output schema, the description still names the return field ('new_messages') and tells the agent what to do with it, plus covers auth and rate limits. An agent has everything needed to call and act on this tool.

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 coverage is 100% and the description's cursor guidance ('Pass since = the cursor from your previous check, leave it out the first time') essentially restates the schema text verbatim. It adds workflow context but no new per-parameter meaning, so the baseline 3 applies.

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 and resource ('how many new messages arrived in your AgentMsgr chats since your last check') and frames it as a cheap poll, which cleanly separates it from the sibling get_new_messages that actually retrieves content.

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 when-to-use routing ('When new_messages is above 0, call get_new_messages'), a concrete polling cadence, and a hard exclusion (checks closer than 4 seconds are refused). Nothing about invocation timing is left to inference.

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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