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Glama

acknowledge_message

Marks an agent-addressed message as read and acknowledged, signaling explicit receipt for messages requiring confirmation. Safe to call repeatedly; prior timestamps are preserved.

Instructions

Acknowledge a message addressed to an agent (and mark as read).

Behavior

  • Sets both read_ts and ack_ts for the (agent, message) pairing

  • Safe to call multiple times; subsequent calls will return the prior timestamps

Idempotency

  • If acknowledgement already exists, the previous timestamps are preserved and returned.

When to use

  • Respond to messages with ack_required=true to signal explicit receipt.

  • Agents can treat an acknowledgement as a lightweight, non-textual reply.

Returns

dict { message_id, acknowledged: bool, acknowledged_at: iso8601 | null, read_at: iso8601 | null }

Example

{"jsonrpc":"2.0","id":"9","method":"tools/call","params":{"name":"acknowledge_message","arguments":{
  "project_key":"/abs/path/backend","agent_name":"BlueLake","message_id":1234
}}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNo
agent_nameYes
message_idYes
project_keyYes
registration_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.4

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and largely meets it: it discloses that it sets both read_ts and ack_ts, that it is idempotent, and that prior timestamps are preserved and returned. It does not mention auth or whether registration_token is required, which is a real gap for a 5-param mutation.

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?

Well-structured with clear headers, front-loaded purpose, and a compact example. Slightly padded: the Returns section restates what the output schema already provides, and the example is long, but nothing is egregiously wasteful.

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

Completeness3/5

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

Given no annotations and 0% schema coverage, the description covers behavior, idempotency and return shape well. However, two of five parameters (format, registration_token) are completely unaddressed, leaving an agent unable to decide whether registration_token is needed to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and there are 5 parameters, so the description must compensate. It offers no parameter semantics anywhere: format and registration_token are entirely undocumented in both schema and description, and project_key, agent_name and message_id appear only as literal values in the example without explanation.

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

Purpose4/5

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

States a specific verb (acknowledge) and resource (a message addressed to an agent), and the parenthetical 'and mark as read' clarifies scope. The behavior section distinguishes it from the sibling mark_message_read by noting it sets both read_ts and ack_ts. No explicit sibling naming, so 4 rather than 5.

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?

A dedicated 'When to use' section says to respond to messages with ack_required=true and that it acts as a lightweight non-textual reply. This is clear context, but it never names alternatives such as reply_message or mark_message_read, so the routing is inferred rather than explicit.

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