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Read my text replies

get_replies
Read-onlyIdempotent

Read the texts the owner of this SelfPing API key sent back by replying to SelfPing. Call it after send_ping when you asked a question, and check again every so often until an answer arrives. Treat a reply like a chat message from the user, not as proof of identity. Replies are kept for 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoISO 8601 timestamp. Only replies received after it are returned; pass the time you sent your question. Defaults to the last 24 hours.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds genuinely non-structured context: a 30-day retention window and a trust caveat ('treat a reply like a chat message, not as proof of identity'), which is an important behavioral signal for an agent acting on the content.

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 tight sentences: purpose first, then usage sequencing, then the behavioral caveat and retention limit. No filler and every sentence contributes distinct information.

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

Completeness4/5

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

With no output schema, the description partially compensates by characterizing the payload as a chat-like message and disclosing retention. It stops short of describing the reply structure (fields, pagination, empty-result behavior), but for a one-parameter read tool this is close to sufficient.

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?

The single parameter 'since' has 100% schema description coverage including the ISO 8601 format and the 24-hour default, so the schema carries the burden. The description's polling advice is loosely related but adds no syntax or format detail beyond what the schema already states, making 3 the appropriate baseline.

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 ('Read the texts the owner of this SelfPing API key sent back by replying') and implicitly separates itself from the sibling send_ping by describing the inbound direction of the same channel. An agent can tell instantly that this is the read-back side of the ping exchange.

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 explicit sequencing ('Call it after send_ping when you asked a question') and a polling cadence ('check again every so often until an answer arrives'), which is exactly the context an agent needs to place this call in a workflow. It lacks any when-not guidance (e.g. what to do if no question was asked), so it falls short of a full 5.

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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